Vehicle logistics intermodal route optimization based on Tabu search algorithm.

With the development of logistics enterprises and the adjustment of some relevant laws and regulations, the profit space of vehicle logistics enterprises has been further compressed. To reduce vehicle logistics transportation cost and increase the profit space of vehicle logistics, the vehicle logistics multimodal transport network is constructed and the graph traversal algorithm is used to screen the feasible paths in the vehicle logistics multimodal transport network. Then, the Tabu search algorithm can optimize vehicle logistics multimodal transport route model. Results showed that Tabu search performed better than other methods in solving route optimization problems. The cost of Tabu search algorithm after convergence was 1.2 yuan/km × per set. The performance of Tabu search algorithm on NGSIM data set was better than other methods. On this data set, the area under the curve of Tabu search algorithm was much higher than that of other methods. The optimization results of Tabu search for vehicle logistics intermodal routes were effective. Among the 15 routes, only four routes were not optimized, and other routes were optimized. After optimization, the profits have increased, and the profit of Route 9 had the largest increase, which was 18%. The research successfully constructs the optimization model of vehicle logistics intermodal route, and completes the solution to increase the profit space of vehicle logistics enterprises.

A three-phase algorithm for the pollution traveling Salesman problem.

This paper studies a variant of the Pollution Traveling Salesman Problem (PTSP) focused on fuel consumption and pollution emissions (PTSPC). The PTSPC generalizes the well-known Traveling Salesman Problem (TSP), classified as NP-Hard. In the PTSPC, a vehicle must deliver a load to each customer through a Hamiltonian cycle, minimizing an objective function that considers the speed of each edge, the mass of the truck, the mass of the load pending delivery, and the distance traveled. We have proposed a three-phase algorithm for the PTSPC. The first phase solves the Traveling Salesman Problem (TSP) exactly with a time limit and heuristically using a Nearest Neighborhood Search approach. This phase considers the constraints associated with the PTSPC by using commercial software. In the second phase, both the obtained solutions and their inverse sequences from the initial phase undergo enhancement utilizing metaheuristic algorithms tailored for the PTSPC. These algorithms include Variable Neighborhood Search (VNS), Tabu Search (TS), and Simulated Annealing (SA). Subsequently, for the third phase, the best solution identified in the second phase-determined by having the minimum value by the PTSPC objective function-is subjected to resolution by a mathematical model designed for the PTSPC, considering the heuristic emphasis of commercial software. The efficiency of the former algorithm has been validated through experimentation involving the adaptation of instances from the Pollution Routing Problem (PRP) to the PTSPC. This approach demonstrates the capacity to yield high-quality solutions within acceptable computing times.

A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm.

Our environment has been significantly impacted by climate change. According to previous research, insect catastrophes induced by global climate change killed many trees, inevitably contributing to forest fires. The condition of the forest is an essential indicator of forest fires. Analysis of aerial images of a forest can detect deceased and living trees at an early stage. Automated forest health diagnostics are crucial for monitoring and preserving forest ecosystem health. Combining Modified Generative Adversarial Networks (MGANs) and YOLOv5 (You Only Look Once version 5) is presented in this paper as a novel method for assessing forest health using aerial images. We also employ the Tabu Search Algorithm (TSA) to enhance the process of identifying and categorizing unhealthy forest areas. The proposed model provides synthetic data to supplement the limited labeled dataset, thereby resolving the frequent issue of data scarcity in forest health diagnosis tasks. This improvement enhances the model's ability to generalize to previously unobserved data, thereby increasing the overall precision and robustness of the forest health evaluation. In addition, YOLOv5 integration enables real-time object identification, enabling the model to recognize and pinpoint numerous tree species and potential health issues with exceptional speed and accuracy. The efficient architecture of YOLOv5 enables it to be deployed on devices with limited resources, enabling forest-monitoring applications on-site. We use the TSA to enhance the identification of unhealthy forest areas. The TSA method effectively investigates the search space, ensuring the model converges to a near-optimal solution, improving disease detection precision and decreasing false positives. We evaluated our MGAN-YOLOv5 method using a large dataset of aerial images of diverse forest habitats. The experimental results demonstrated impressive performance in diagnosing forest health automatically, achieving a detection precision of 98.66%, recall of 99.99%, F1 score of 97.77%, accuracy of 99.99%, response time of 3.543 ms and computational time of 5.987 ms. Significantly, our method outperforms all the compared target detection methods showcasing a minimum improvement of 2% in mAP.

Percepciones maternas sobre la sexualidad como tabú en personas con discapacidad

Fundamento: Una persona con discapacidad además de las barreras físicas enfrenta limitaciones sexuales, afectados por estereotipos sociales de diversa índole. Objetivo: Analizar las percepciones maternas sobre la sexualidad como un tabú para las personas que tienen algún tipo de discapacidad física o intelectual. Metodología: Estudio cualitativo con enfoque fenomenológico; se entrevistaron 100 madres, las cuales tienen familiares con discapacidad intelectual y física. Se analizó su sexualidad como tabú, y en función de ello varios subtemas y códigos de análisis. Se empleó la entrevista, procesada con Atlas. Resultados: Se observó que algunas personas con discapacidad tienen pérdida del deseo sexual; y sus familiares el sexo lo conceptualizan y lo relacionan con la prostitución. A muchos de ellos los esterilizan sin su consentimiento con la idea de que no serían capaces de ser responsables de formar una familia, o que los hijos tengan la misma discapacidad que sus progenitores. Conclusiones: Existe rechazo social a las personas con discapacidad, todavía no hay una inclusión total a la sociedad y peor aún a sus derechos de sexualidad. A las personas con discapacidad en ocasiones se les ha privado de las decisiones corporales de control natal por prejuicios y miedos de sus familiares por factores hereditarios; idea esta muy presente en el contexto estudiado; por ello, el sexo es un tabú para las madres entrevistadas de personas con discapacidad.

Background: A disabled person faces sexual limitations in addition to physical barriers, affected by various kinds of social stereotypes. Objective: To analyze maternal perceptions about sexuality as a taboo for persons who have some physical or intellectual disability. Methodology: Qualitative study with a phenomenological approach; 100 mothers were interviewed, all of whom have relatives with intellectual and physical disabilities. Their sexuality as a taboo was analyzed, and, in function of this, several sub-themes and analyses codes. The interview, processed with Atlas, was applied. Results: It was observed that some disabled persons have sexual desire loss, and their family members conceptualize sex and relate it with prostitution. Many of them are sterilized without their consent with the idea that they would not be capable to be responsible for raising a family, or that the children have the same disability as their parents. Conclusions: There is social rejection for people with disabilities; there is still no total inclusion in society and even worse to their sexuality rights. Persons with disabilities have on occasion been deprived of bodily birth control decisions because of prejudices and fears of their family members due to hereditary factors, this idea is very present in the studied context; therefore, sex is a taboo for the interviewed mothers of disabled persons.

Using Bayesian networks with tabu algorithm to explore factors related to chronic kidney disease with mental illness: A cross-sectional study.

While Bayesian networks (BNs) offer a promising approach to discussing factors related to many diseases, little attention has been poured into chronic kidney disease with mental illness (KDMI) using BNs. This study aimed to explore the complex network relationships between KDMI and its related factors and to apply Bayesian reasoning for KDMI, providing a scientific reference for its prevention and treatment. Data was downloaded from the online open database of CHARLS 2018, a population-based longitudinal survey. Missing values were first imputed using Random Forest, followed by propensity score matching (PSM) for class balancing regarding KDMI. Elastic Net was then employed for variable selection from 18 variables. Afterwards, the remaining variables were included in BNs model construction. Structural learning of BNs was achieved using tabu algorithm and the parameter learning was conducted using maximum likelihood estimation. After PSM, 427 non-KDMI cases and 427 KDMI cases were included in this study. Elastic Net identified 11 variables significantly associated with KDMI. The BNs model comprised 12 nodes and 24 directed edges. The results suggested that diabetes, physical activity, education levels, sleep duration, social activity, self-report on health and asset were directly related factors for KDMI, whereas sex, age, residence and Internet access represented indirect factors for KDMI. BN model not only allows for the exploration of complex network relationships between related factors and KDMI, but also could enable KDMI risk prediction through Bayesian reasoning. This study suggests that BNs model holds great prospects in risk factor detection for KDMI.

BatTS: a hybrid method for optimizing deep feedforward neural network.

Deep feedforward neural networks (DFNNs) have attained remarkable success in almost every computational task. However, the selection of DFNN architecture is still based on handcraft or hit-and-trial methods. Therefore, an essential factor regarding DFNN is about designing its architecture. Unfortunately, creating architecture for DFNN is a very laborious and time-consuming task for performing state-of-art work. This article proposes a new hybrid methodology (BatTS) to optimize the DFNN architecture based on its performance. BatTS is a result of integrating the Bat algorithm, Tabu search (TS), and Gradient descent with a momentum backpropagation training algorithm (GDM). The main features of the BatTS are the following: a dynamic process of finding new architecture based on Bat, the skill to escape from local minima, and fast convergence in evaluating new architectures based on the Tabu search feature. The performance of BatTS is compared with the Tabu search based approach and random trials. The process goes through an empirical evaluation of four different benchmark datasets and shows that the proposed hybrid methodology has improved performance over existing techniques which are mainly random trials.

FDI and Wellbeing: A Key Node Analysis for Psychological Health in Response to COVID-19 Using Artificial Intelligence.

Developing countries are primary destinations for FDI from emerging economies following the World Investment Report 2022, including destinations in OECD countries. Based on three theoretical lenses and case analyses, we argue that Chinese outward FDI has impacts on wellbeing in destination countries, and that this is an important issue for psychological health in response to COVID-19. Based on the super-efficiency DEA approach, our study investigated the impact of Chinese outward FDI on wellbeing in OECD countries. We also applied a Tabu search to identify country groups based on the relationship between Chinese outward FDI and wellbeing and we developed a key node analysis of the country groups using an immune algorithm. This research has implications for public administrators in global governance and could help shape FDI policies to improve psychological health of the destination countries in response to COVID-19.

A Scheduling Method of Using Multiple SAR Satellites to Observe a Large Area.

This paper presents a scheduling problem of using multiple synthetic aperture radar (SAR) satellites to observe a large irregular area (SMA). SMA is usually considered as a kind of nonlinear combinatorial optimized problem and its solution space strongly coupled with geometry grows exponentially with the increasing magnitude of SMA. It is assumed that each solution of SMA yields a profit associated with the acquired portion of the target area, and the objective of this paper is to find the optimal solution yielding the maximal profit. The SMA is solved by means of a new method composed of three successive phases, namely, grid space construction, candidate strip generation and strip selection. First, the grid space construction is proposed to discretize the irregular area into a set of points in a specific plane rectangular coordinate system and calculate the total profit of a solution of SMA. Then, the candidate strip generation is designed to produce numerous candidate strips based on the grid space of the first phase. At last, in the strip selection, the optimal schedule for all the SAR satellites is developed based on the result of the candidate strip generation. In addition, this paper proposes a normalized grid space construction algorithm, a candidate strip generation algorithm and a tabu search algorithm with variable neighborhoods for the three successive phases, respectively. To verify the effectiveness of the proposed method in this paper, we perform simulation experiments on several scenarios and compare our method with the other seven methods. Compared to the best of the other seven methods, our proposed method can improve profit by 6.38% using the same resources.

Composite Lamina Model Design with the Use of Heuristic Optimization.

In engineering practice, a problem is quite often faced in which the number of unknown parameters exceeds the number of conditions or requirements or, otherwise, there are too many requirements for too few parameters to design. Such under- or over-defined tasks are sometimes not possible to solve using a direct approach. The number of solutions to such problems is multiple, and it is most rational to search for the optimal one by numerical methods since the more unknown design parameters there are to be designed, the more potential solutions there are. This article discusses a way to find an optimal solution to such an underdetermined problem by heuristic optimization methods on the basis of the example of designing a composite wing skin of an aircraft. Several heuristic approaches, specifically gradient descent and Tabu search, are studied to solve the design problem and to locate an optimal solution. They are also compared to a conventional direct approach. The examined composite lamina is optimized by the target function of minimum weight with the constraints of strength and buckling failure criteria. In most of the observed cases, the heuristic method designed structures which were considerably better than the structures that were obtained by conventional direct approaches in terms of the weight to load ratio.

Cuidando la sexualidad desde lo comunicacional: teoría fundamentada constructivista / Cuidar da sexualidade desde uma perspectiva comunicativa: teoria fundamentada construtivista / Caring for sexuality from a communicational approach: Constructivist grounded theory

Introducción: la sexualidad es un componente del ser humano que debe ser cuidado debido a su impacto en la salud integral. Objetivo: describir el proceso comunicativo que media en el cuidado de la sexualidad en diferentes ambientes de práctica profesional mediante la teoría fundamentada constructivista. Materiales y método: estudio realizado a partir de la teoría fundamentada constructivista, con 12 profesionales de enfermería que laboran en la ciudad de Medellín (Colombia), quienes participaron mediante entrevista intensiva entre junio de 2020 y septiembre de 2022. El análisis se inició con precodificación a partir de audios. Luego de las transcripciones se seleccionaron los incidentes, a los cuales se les asignó un código en acción. Estos códigos se agruparon de acuerdo con el sentido y así se conformaron categorías y subcategorías. Los memos teóricos, analíticos y descriptivos fueron transversales en el análisis. Resultados: el tabú y el pudor que rodea la sexualidad, en especial cuando esta se reduce a la genitalidad, afectan negativamente la comunicación y el cuidado. Por ello, el profesional de enfermería debe escuchar atenta e imparcialmente, usar un lenguaje legitimado por el sujeto y mostrar empatía para favorecer confianza, vínculo y conexión, a fin de identificar las necesidades y actuar de acuerdo con el sujeto y según el contexto de cuidado. Conclusiones: el cuidado de la sexualidad es un acto comunicativo donde prima la comunicación no verbal; esta debe ser interpretada por el profesional para responder acertadamente a la necesidad, dentro del límite que el sujeto establece en la comunicación terapéutica, es por ello que "el paciente nos moldea".

Introduction: Sexuality is a human dimension that needs to be taken care of due to its impact on the comprehensive health of people. Objective: To describe the communicative process involved in the care of patients' sexuality within professional practice environments through the insights of the constructivist grounded theory. Materials and method: Study based on the constructivist grounded theory, conducted with twelve nursing professionals in Medellin (Colombia) who participated in an intensive interview between June 2020 and September 2020. The analysis began with audio pre-coding. After the transcriptions, were selected incidents, to which an action code was assigned. The codes obtained were grouped according to meaning, thus forming categories and subcategories. Theoretical, analytical, and descriptive memos were cross-sectional within the analysis. Results: Taboo and shyness surrounding sexuality, especially when focusing on genitality, negatively affect communication and hence the caring process of patients. Therefore, professionals must listen attentively, be impartial, use a type of language that is legitimized by the patients, and demonstrate empathy in order to foster trust, bonding and connection, which allows identifying needs and acting according to the subject and the specific context of care. Conclusion: The care for sexuality is a communicative act where nonverbal communication prevails. This must be interpreted by health professionals to be able to respond correctly to needs and the limits established by the patients, in therapeutic communication. This is the reason why "the patient shapes us."

Introdução: a sexualidade é um componente do ser humano que precisa ser cuidado devido a seu impacto sobre a saúde integral. Objetivo: descrever o processo comunicativo que permeia o cuidado da sexualidade em diferentes ambientes de prática profissional por meio da teoria fundamentada construtivista. Materiais e método: estudo baseado na teoria fundamentada construtivista, com 12 profissionais de enfermagem que trabalham em Medellín, Colômbia, os quais participaram mediante entrevista intensiva entre junho de 2020 e setembro de 2022. A análise começou com pré-codificação a partir de áudios; após as transcrições, os incidentes foram selecionados e lhes foram atribuídos um código em ação, os quais foram agrupados de acordo com o sentido; assim, foram formadas categorias e subcategorias; os memorandos teóricos, analíticos e descritivos foram transversais na análise. Resultados: o tabu e o pudor em torno da sexualidade, especialmente quando esta é reduzida à genitalidade, afetam negativamente a comunicação e, portanto, o cuidado; por essa razão, o profissional deve escutar com atenção e imparcialidade, usar uma linguagem legitimada pelo sujeito e demonstrar empatia para fomentar a confiança, o vínculo e a conexão a fim de identificar as necessidades e agir de acordo com o sujeito e o contexto do cuidado. Conclusões: o cuidado da sexualidade é um ato comunicativo em que prevalece a comunicação não verbal, a qual deve ser interpretada pelo profissional a fim de responder corretamente à necessidade e ao limite que o sujeito estabelece na comunicação terapéutica, razão pela qual "o paciente nos molda".

Integrated scheduling of distributed production and distribution in group manufacturing with uncertain travel time.

This paper presents a novel integrated distributed production and distribution scheduling problem in group manufacturing with uncertain travel time (IDPDSP-GM-UTT), in which products are firstly produced in several distributed hybrid flow shops and then delivered to several retailers in batches. The proposed model considers both geographical dispersion of multi-factories and variable travel time between factories and retailers caused by time-varying dynamics of road network, which describes the production environment more authentic. Additionally, a mathematical model is developed to find the optimal quantity of raw material, delivery plan, and punishment of earliness and tardiness with the objective of minimizing total costs. Then, an improved genetic algorithm with two-stage heuristic mutation scheduling strategy and tabu search for local optimization (GA-2HMS&TS) is designed to solve the proposed model. To verify the performances of the proposed method, several experiments by adopting test experimental examples with different scales are performed. The computational results exhibit that the GA-2HMS&TS not only significantly reduces the total cost of production and distribution, but also outperforms all of its rivals. In addition, the robustness of the proposed models is also analyzed with regard to the different road conditions.

Foreign exchange forecasting and portfolio optimization strategy based on hybrid-molecular differential evolution algorithms.

At present, the COVID-19 epidemic is still spreading at home and abroad, and the foreign exchange market is highly volatile. From financial institutions to individual investors, foreign exchange asset allocation has become important contents worthy of attention. However, most intelligent optimization algorithms (hereinafter IOAS) adopt the existing data and ignore the forecasted one in the foreign exchange portfolio allocation, which will result in a huge difference between portfolio allocation and actual demand; at the same time, many IOAS are less adaptable and have lower optimization ability in portfolio problems. To solve the aforementioned problems, this paper first proposed a DETS based on hybrid tabu search and differential evolution algorithms (DEAs), which has excellent optimization ability. Subsequently, the DETS algorithm was applied to support vector machine (SVM) model. Experiments show that, compared with other algorithms, the MAE and RMSE obtained by using DETS optimization parameters are reduced by at least 3.79 and 1.47%, while the CTR is improved by at least 2.19%. Then combined with the DETS algorithm and Pareto sorting theory, an algorithm suitable for multi-objective optimization was further proposed, named NSDE-TS. Finally, by applying NSDE-TS algorithm, the optimal foreign exchange portfolio is acquired. The empirical analysis shows that the Pareto front obtained by this algorithm is better than that of NSGA-II. Since the lower the uniformity index and convergence index, the stronger the optimization performance of the corresponding algorithm, compared with NSGA-II, its uniformity and convergence index decreased by 15.7 and 39.6%.

Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19.

The novel coronavirus pneumonia (COVID-19) has created huge demands for medical masks that need to be delivered to a lot of demand points to protect citizens. The efficiency of delivery is critical to the prevention and control of the epidemic. However, the huge demands for masks and massive number of demand points scattered make the problem highly complex. Moreover, the actual demands are often obtained late, and hence the time duration for solution calculation and mask delivery is often very limited. Based on our practical experience of medical mask delivery in response to COVID-19 in China, we present a hybrid machine learning and heuristic optimization method, which uses a deep learning model to predict the demand of each region, schedules first-echelon vehicles to pre-distribute the predicted number of masks from depot(s) to regional facilities in advance, reassigns demand points among different regions to balance the deviations of predicted demands from actual demands, and finally routes second-echelon vehicles to efficiently deliver masks to the demand points in each region. For the subproblems of demand point reassignment and two-batch routing whose complexities are significantly lower, we propose variable neighborhood tabu search heuristics to efficiently solve them. Application of the proposed method in emergency mask delivery in three megacities in China during the peak of COVID-19 demonstrated its significant performance advantages over other methods without pre-distribution or reassignment. We also discuss key success factors and lessons learned to facilitate the extension of our method to a wider range of problems.

Waste Management with the Use of Heuristic Algorithms and Internet of Things Technology.

Studies have been performed to improve the process of waste management. They were fulfilled by changing the base of waste logistics management using a combination of intelligent algorithms and the IMPACT IoT platform instead of a human factor. The research was carried out on the example of real data with respect to waste management in a given area. The proposed solution includes a program that simulates the filling of specific waste containers located in various areas. The determined aspects are inconveniences on the routes, affecting the time of moving between the receiving points and the distances between the containers. The variability of the speed and intensity of the containers filling up over time is an additional factor taken into account. The proposed methods yielded the performance of the control of the containers' filling status in real time, which apparently results in the possibility of a reaction to the current demand just in time. The proposed solution enables the improvement of the waste logistics management process, including avoiding the too-frequent emptying of containers or overfilling them. The combination of the device prototype, the simulation program, and the developed algorithms opens the possibility for further research in the smart city and optimization areas.

Semi-Quantitative Discrimination of Honey Adulterated with Cane Sugar Solution by an ETongue.

This study successfully applied a potentiometric E-tongue with 20 cross-selectivity lipidic polymeric membranes in the discrimination of three semi-quantitative groups, that represented the following intervals of honey adulteration percentage with cane sugar: 0 %; [0, 10]%; [10, 20]% of adulteration. We analysed five different types of Portuguese honey; five brands of cane sugar were added to the adulterated samples; a comparative analysis was then performed. Linear discriminant analysis coupled with a tabu search algorithm for feature selection was applied to the ETongue's analytical data to select the best model. A discriminant model with 12 sensors was obtained. This model classified correctly all samples in both in internal (train data, 15 samples) and external validation (test data,10 samples). Also, multiple linear regression with tabu search was applied to verify if ETongue's data would allow quantifying the honey's adulteration level. The results showed that it was possible to obtain a quantitative model but with unsatisfactory predictive performance in the test data group (external validation), giving, in general, values below the expected concentrations. E-tongue is a real-time green, flexible and low-cost analytical tool that requires minimum sample preparation and no special technical skills, being a promising tool for everyday application.

Marital betrayal, culture and prejudice.

In our consulting rooms we find, depending on the period, certain conditions that relate closely to current cultural prejudices. In our culture, divorce and the reconstituted family can bring both creativity but also emotional difficulty, often triggered by marital betrayal. This paper explores marital betrayal in relation to childhood experiences of fidelity, infidelity and the lack of love. It asks whether there is a cultural prejudice related to marital fidelity, and whether sexuality only belongs in a loving couple, whether this is a patriarchal contract, and what role the anima plays in a loving bond; this is related to 'altericide' and need for respect for the other, as the libido seeks 'living symbols'.

Suivant les périodes, nous retrouvons dans nos salles de consultation des situations qui ont beaucoup à voir avec les préjudices culturels en vigueur. Dans notre culture le divorce et la famille reconstituée peuvent apporter à la fois de la créativité et de la difficulté émotionnelle, souvent déclenchée par la trahison dans le couple. Cet article explore la trahison dans le couple en relation avec les expériences infantiles de fidélité, d'infidélité, et de manque d'amour. L'article s'interroge: y-a-t-il un préjudice culturel lié à la fidélité dans le couple? La sexualité appartient-elle seulement à un couple qui éprouve de l'amour? S'agit-il là d'un contrat patriarcal? Et quel rôle joue l'anima dans une relation aimante? Ceci est mis en lien avec « l'altéricide ¼ et le besoin de respect à l'égard de l'autre, alors que la libido recherche des « symboles vivants ¼.

Encontramos en nuestros consultorios, dependiendo del período, ciertas condiciones que se relacionan cercanamente con prejuicios culturales vigentes. En nuestra cultura, el divorcio y la familia reconstituida puede brindar tanto creatividad como dificultades emocionales, a menudo ambas activadas por la traición marital. El presente trabajo explora la traición marital con relación a experiencias infantiles de fidelidad, infidelidad, y de falta de amor. Pregunta si existe un prejuicio cultural respecto a la fidelidad marital, si la sexualidad solamente pertenece a la pareja amorosa, si ésta es un contrato patriarcal y que rol juega el ánima en un vínculo amoroso. Esto está relacionado al 'altericidio' y a la necesidad de respeto por el otro, a medida que la libido busca 'símbolos vivos'.

Em nossas salas de consultório encontramos, dependendo do período, certas condições que se relacionam intimamente com os preconceitos culturais atuais. Em nossa cultura, o divórcio e a família reconstituída podem trazer criatividade, mas também dificuldade emocional, muitas vezes desencadeada pela traição conjugal. Este artigo explora a traição conjugal em relação às experiências infantis de fidelidade, infidelidade e falta de amor. Pergunta se há um preconceito cultural relacionado à fidelidade conjugal e se a sexualidade pertence apenas a um casal amoroso, se este é um contrato patriarcal e qual papel a anima desempenha em um vínculo amoroso; isso está relacionado ao "altericídio" e à necessidade de respeito pelo outro, já que a libido busca "símbolos vivos".

Entomofagia, ¿Una potencial alternativa para la seguridad alimentaria?: Una revisión narrativa / Entomophagy, A Potential Alternative for Food Safety?: A Narrative Review

Fundamentos: El consumo de insectos por el hombre (antropoentomofagia), es una práctica adoptada pordiversas culturas a lo largo de la historia. Sin embargo, a pesar de sus beneficios nutricionales ymedioambientales, su consumo aún no es culturalmente aceptado por la mayor parte del mundooccidentalizado.Métodos: Para esta revisión narrativa se realizó una búsqueda bibliográfica sobre artículos enfocados enentomofagia y seguridad alimentaria en Medline, ScienceDirect, Scielo y Google Scholar y se complementócon una búsqueda manual en páginas web de instituciones especializadas en salud y seguridad alimentaria.Resultados: Se ha reportado que muchos insectos presentan una composición nutricional comparable a losproductos cárnicos. Además, su rendimiento puede llegar a ser superior al del ganado tradicional generandomejores tasas de conversión alimentaria, lo que ha generado que se proponga como una alternativa desolución ante una situación de inseguridad alimentaria, aunque su difusión es aún un reto debido a laneofobia y barreras culturales que generan rechazo a esta práctica.Conclusiones: La entomofagia es una potencial alternativa que puede aportar a la seguridad alimentaria.Para promover la entomofagia, esta debe ser abordada mediante diversas estrategias, entre ellas la difusiónde sus beneficios medioambientales y nutricionales. (AU)

Background: The consumption of insects by man (anthropoentomophagy) is a practice adopted by variouscultures throughout history. However, despite its nutritional and environmental benefits, its consumption isstill not culturally accepted by most of the Western world.Methods: For this narrative review, a bibliographic search was carried out on articles focused onentomophagy and food security in Medline, ScienceDirect, Scielo and Google Scholar and it wascomplemented with a manual search on the web pages of institutions specialized in health and food safety.Results: Many insects have been reported to have a nutritional composition comparable to meat products. Inaddition, its performance can be higher than that of traditional livestock, generating better food conversionrates, which has led to it being proposed as an alternative solution to a situation of food insecurity, althoughits dissemination is still a challenge due to neophobia and cultural barriers that generate rejection of thispractice.Conclusions: Entomophagy is a potential alternative that can contribute to food security. To promoteentomophagy, it must be addressed through various strategies, including the dissemination of itsenvironmental and nutritional benefits. (AU)

A hybrid ant colony algorithm for the winner determination problem.

Combinatorial auction is an important type of market mechanism, which can help bidders to bid on the combination of items more efficiently. The winner determination problem (WDP) is one of the most challenging research topics on the combinatorial auction, which has been proven to be NP-hard. It has more attention from researchers in recent years and has a wide range of real-world applications. To solve the winner determination problem effectively, this paper proposes a hybrid ant colony algorithm called DHS-ACO, which combines an effective local search for exploitation and an ant colony algorithm for exploration, with two effective strategies. One is a hash tabu search strategy adopted to reduce the cycling problem in the local search procedure. Another is a deep scoring strategy which is introduced to consider the profound effects of the local operators. The experimental results on a broad range of benchmarks show that DHS-ACO outperforms the existing algorithms.

Tabu search for a parallel-machine scheduling problem with periodic maintenance, job rejection and weighted sum of completion times.

We consider in this work a bicriteria scheduling problem on two different parallel machines with a periodic preventive maintenance policy. The two objectives considered involve minimization of job rejection costs and weighted sum of completion times. They are handled through a lexicographic approach, due to a natural hierarchy among the two objectives in the applications considered. The main contributions of this paper are first to present a new problem relevant to practice, second, to develop a mixed-integer-linear-program model for the problem, and third, to introduce two generalizable tabu-search metaheuristics relying on different neighborhood structures and solution spaces. Computational results for 120 instances (generated from a real case) are reported to empirically demonstrate the effectiveness of the proposed metaheuristics.

Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem.

The Vehicle Routing Problem (VRP) and its variants are found in many fields, especially logistics. In this study, we introduced an adaptive method to a complex VRP. It combines multi-objective optimization and several forms of VRPs with practical requirements for an urban shipment system. The optimizer needs to consider terrain and traffic conditions. The proposed model also considers customers' expectations and shipper considerations as goals, and a common goal such as transportation cost. We offered compromise programming to approach the multi-objective problem by decomposing the original multi-objective problem into a minimized distance-based problem. We designed a hybrid version of the genetic algorithm with the local search algorithm to solve the proposed problem. We evaluated the effectiveness of the proposed algorithm with the Tabu Search algorithm and the original genetic algorithm on the tested dataset. The results show that our method is an effective decision-making tool for the multi-objective VRP and an effective solver for the new variation of VRP.