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A new algorithm inspired in the behavior of the social-spider for constrained optimization.
- Source :
-
Expert Systems with Applications . Feb2014, Vol. 41 Issue 2, p412-425. 14p. - Publication Year :
- 2014
-
Abstract
- Highlights: [•] In this paper, a novel swarm algorithm called the Social Spider Optimization (SSO-C) is proposed for solving constrained optimization tasks. [•] In the proposed method, individuals emulate a group of spiders which interact to each other based on the biological laws of the cooperative colony. [•] For constraint handling, the approach incorporates the combination of two different paradigms: a penalty function and a feasibility criterion. [•] Comparisons based on several well-studied benchmarks functions demonstrate the effectiveness, efficiency and stability of the proposed method. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09574174
- Volume :
- 41
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Expert Systems with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 90628853
- Full Text :
- https://doi.org/10.1016/j.eswa.2013.07.067