Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
| Autor: | Algirdas Lančinskas, Pilar Martinez Ortigosa, Julius Žilinskas |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Nonlinear Analysis, Vol 18, Iss 3 (2013) |
| Druh dokumentu: | article |
| ISSN: | 1392-5113 2335-8963 |
| Popis: | A hybrid multi-objective optimization algorithm based on genetic algorithm and stochastic local search is developed and evaluated. The single agent stochastic search local optimization algorithm has been modified in order to be suitable for multi-objective optimization where the local optimization is performed towards non-dominated points. The presented algorithm has been experimentally investigated by solving a set of well known test problems, and evaluated according to several metrics for measuring the performance of algorithms for multi-objective optimization. Results of the experimental investigation are presented and discussed. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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