A Novel Multi-Objective Self-Organizing Migrating Algorithm

Radioengineering

关键词: Multi-objective optimization;    self-organizing migrating algorithm;    Pareto front of optimal solutions;   

DOI  :  

来源: DOAJ

【 摘 要 】

In the paper, a novel stochastic Multi-Objective Self Organizing Migrating Algorithm (MOSOMA) is introduced. For the search of optima, MOSOMA employs a migration technique used in a single-objective Self Organizing Migrating Algorithm (SOMA). In order to obtain a uniform distribution of Pareto optimal solutions, a novel technique considering Euclidian distances among solutions is introduced. MOSOMA performance was tested on benchmark problems and selected electromagnetic structures. MOSOMA performance was compared with the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Strength Pareto Evolutionary Algorithm 2 (SPEA2). MOSOMA excels in the uniform distribution of solutions and their completeness.

【 授权许可】

Unknown