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Title

Full-informed Electromagnetism-like Mechanism Nonlinear Genetic Algorithm

Author

Cui Zhihua, Zeng Jianchao

Vol. 6  No. 1  pp. 64~68

Abstract

Based on the electromagnetism-like mechanism, a novel genetic algorithm, full-informed electromagnetism mechanism nonlinear genetic algorithm (FIEMNGA), is proposed to solve global numerical optimization problems with continuous variables. In FIEMNGA, full information of individuals of population is used to provide a position displacement, and a displacement threshold is designed to balance the exploitation and exploration capability. Simulation results indicate the FIEMNGA performs much better than the real-coded genetic algorithm with center of mass crossover operator in the quality of solution.

Keywords

Genetic Algorithm, Electromagnetism-like Mechanism, Nonlinear Crossover Operator, Nonlinear Mutation Operator

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