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A Virus Evolutionary Genetic Algorithm for Large Product Structure Optimization Problem

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Product Development and Customization Metaheuristic Optimization Algorithms Research Evolutionary Algorithms and Applications

Abstract

In order to solve the problem of quality and cost optimization of a large product structure, a virus evolutionary genetic algorithm (VEGA) is developed, and then the coding and decoding representation of the solution as well as the calculation of the fitness function are designed. VEGA is a coevolutionary algorithm, which can make not only global search by vertical inheritance of evolutionary information between parent and child populations with genetic operators but also local search by horizontal propagation of evolutionary information in the same population with virus infection operators, so it can get the satisfied solution in less time than genetic algorithm (GA). The experimental simulation results are given lastly.

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