Title: The Multi-objective Optimization based on a modified Genetic Algorithm
Abstract: Multi-objective Optimization (MO) is an important research direction of evolutionary computation and also common problem in engineering application. In recent years, scholars have paid attention to the method of solving MO using Genetic Algorithm (GA), particularly Paretooptimal GA. They attempt to find a preferable Pareto optimum set to serve as the solution set of MO using the global parallel searching technology. The method presents an advantage of solving MO in the entire region of Pareto set, but also shows defects of nonuniform distribution of the obtained Pareto optimum sets and little Pareto optimum solutions. This is mainly because of the premature convergence of GA.
Publication Year: 2015
Publication Date: 2015-09-03
Language: en
Type: book-chapter
Indexed In: ['crossref']
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