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Optimization Of Strongly Nonlinear Dynamical Systems Using A Modified Genetic Algorithm With Micro-Movement (Mgam), Xing Wei
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
The genetic algorithm (GA) is a popular random search and optimization method inspired by the concepts of crossover, random mutation, and natural selection from evolutionary biology. The real-valued genetic algorithm (RGA) is an improved version of the genetic algorithm designed for direct operation on real-valued variables. In this work, a modified version of a genetic algorithm is introduced, which is called a modified genetic algorithm with micro-movement (MGAM). It implements a particle swarm optimization (PSO)-inspired micro-movement phase that helps to improve the convergence rate, while employing the efficient GA mechanism for maintaining population diversity. In order to test the capability …