A non-dominated sorting based multi-objective neural network algorithm.

Neural Network Algorithm (NNA) is a recently proposed Metaheuristic that is inspired by the idea of artificial neural networks. The performance of NNA on single-objective optimization problems is very promising and effective. In this article, a maiden attempt is made to restructure NNA for its possible use to address multi-objective optimization problems. To make NNA suitable for MOPs several fundamental changes in the original NNA are proposed. A novel concept is proposed to initialize the candidate solution, position update, and selection of target solution. To examine the optimization ability of the proposed scheme, it is tested on several benchmark problems and the results are compared with eight state-of-the-art multi-objective optimization algorithms. Inverse generational distance(IGD) and hypervolume (HV) metrics are also calculated to understand the optimization ability of the proposed scheme. The results are statistically validated using Wilcoxon signed rank test. It is observed that the overall optimization ability of the proposed scheme to solve MOPs is very good.•This paper proposes a method to solve multi-objective optimization problems.•A multi-objective Neural Network Algorithm method is proposed.•The proposed method solves difficult multi-objective optimization problems.

Unilateral Frontalis Suspension With Silicone Sling Without Levator Extirpation in Congenital Ptosis With Marcus Gunn Jaw Winking Synkinesis.

PURPOSE: To evaluate the efficacy of unilateral tarso-frontalis silicone sling without levator extirpation or disinsertion in dampening the jaw wink in patients with congenital ptosis associated with Marcus Gunn Jaw Winking synkinesis phenomenon. METHODS: Retrospective review of medical records of all patients of congenital ptosis with moderate to severe Marcus Gunn jaw winking synkinesis who underwent unilateral tarsofrontal silicone sling surgery without extirpation of the levator muscle were retrospectively reviewed. Data were collected about the pre- and the postoperative severity of the ptosis and the amount of Marcus Gunn jaw winking excursion. RESULTS: Twenty-three patients were included in the study. Mean postoperative follow up duration was 31.2 (range 6-208) weeks. The severity of the preoperative jaw wink was mild (<2 mm excursion) in 0 patient, moderate (2-5mm) in 15 (65%) patients, and severe (>5 mm eyelid excursion) in 8 (35%) patients. Postoperatively, 20 (87%) patients had mild residual jaw wink, 3 (13%) patients had moderate jaw wink and none of the patient had severe residual jaw wink. CONCLUSION: Unilateral tarsofrontal silicone sling without disinsertion or extirpation of the levator can reduce the severity of the jaw wink excursion in patients with congenital ptosis with moderate to severe preoperative Marcus Gunn jaw winking synkinesis.