Enriched artificial bee colony metaheuristic for hierarchical goal programming engineering design problems
| Autor: | Habib Chabchoub, Saima Dhouib, Souhail Dhouib |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Polymers and Plastics Computer science business.industry Search-based software engineering 02 engineering and technology Great Deluge algorithm Parallel metaheuristic Industrial and Manufacturing Engineering Artificial bee colony algorithm 020901 industrial engineering & automation Goal programming 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Local search (optimization) Artificial intelligence Business and International Management business Engineering design process Metaheuristic |
| Zdroj: | International Journal of Metaheuristics. 5:173 |
| ISSN: | 1755-2184 1755-2176 |
| DOI: | 10.1504/ijmheur.2016.10002040 |
| Popis: | In this paper, a standard artificial bee colony ABC metaheuristic was enriched to optimise hierarchical goal programming GP engineering design problems. The proposed method was first adapted to support the GP by means of minimising deviations from fixed goals, and then enriched by the great deluge metaheuristic, especially in the onlooker bee phase, in order to increase its local search ability. The proposed metaheuristic is called great deluge artificial bee colony GD-ABC. Experiments on four engineering design problems showed that the proposed GD-ABC metaheuristic converges rapidly and efficiently to solve those problems. The nonparametric Mann-Whitney U test was used to prove the comparison. |
| Databáze: | OpenAIRE |
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