Convergence and optimization for cyclical production in the process of pharmaceutical packaging and drug preparation operations with meta-heuristic algorithms and modeling with genetic algorithm - neural network

Soheil Seirafi¹ Farabi Pharmaceutical Company²

1) Department of Electrical Engineering, Ostim Teknik University, Ankara,
2) Farabi Pharmaceutical

Publication : 3rd International Conference on New Research & Achievements in Science, Engineering & Technologies(setbconf.com)
Abstract :
The aim of this study is to investigate the centralized drug optimization based on a capacity-based joint filling and delivery strategy. A mixed integer non-linear programming model is proposed to describe the operational process of drug manufacturing. The goal is to find an optimal completion schedule. A new hybrid optimization, consisting of an innovative algorithm and a design-constrained heuristic, is developed to solve the proposed drug-focused optimization model. The algorithm includes a modified genetic operation and a local search method, and constrained heuristics are used to significantly reduce the decision space. Experimental results showed that the proposed optimization can effectively obtain high-quality solutions, as shown by a comparative numerical study.
Keywords : metaheuristic genetic algorithm Optimization