An efficient evolutionary algorithm for engineering design problems
| Autor: | Affi Zouhaier, Romdhane Lotfi, Nejlaoui Mohamed, Najlawi Bilel |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Computer science Pareto principle Evolutionary algorithm Contrast (statistics) Computational intelligence 02 engineering and technology Theoretical Computer Science Set (abstract data type) 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Geometry and Topology Engineering design process Software Variable neighborhood search |
| Zdroj: | Soft Computing. 23:6197-6213 |
| ISSN: | 1433-7479 1432-7643 |
| Popis: | This study introduces a multi-objective version of the recently proposed colonial competitive algorithm (CCA) called multi-objective colonial competitive algorithm. In contrast to original CCA, which used the combination of the objective functions to solve multi-objective problems, the proposed algorithm incorporates the Pareto concept to store simultaneously optimal solutions of multiple conflicting functions. Another novelty of this paper is the integration of the variable neighborhood search as an assimilation strategy, in order to improve the performance of the obtained solutions. To prove the effectiveness of the proposed algorithm, a set of standard test functions with high dimensions and some multi-objective engineering design problems are investigated. The results obtained amply demonstrate that the proposed approach is efficient and is able to yield a wide spread of solutions with good convergence to true Pareto fronts, compared with other proposed methods in the literature. |
| Databáze: | OpenAIRE |
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