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

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 , Response Level (RS) , genetic algorithm , Optimization