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- Title
A Novel Multi-Objective Self-Organizing Migrating Algorithm.
- Authors
Kadlec, Petr; Raida, Zbyněk
- Abstract
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.
- Subjects
GENETIC algorithms; UNIFORM distribution (Probability theory); ELECTROMAGNETIC fields; STOCHASTIC analysis; DISTRIBUTION (Probability theory); PERFORMANCE evaluation; COMPARATIVE studies
- Publication
Radioengineering, 2011, Vol 20, Issue 4, p804
- ISSN
1210-2512
- Publication type
Article