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Hybridizing the electromagnetism-like algorithm with descent search for solving engineering design problems
| Content Provider | Scilit |
|---|---|
| Author | Rocha, Ana Maria A. C. Fernandes, Edite M. G. P. |
| Copyright Year | 2009 |
| Description | In this paper, we present a new stochastic hybrid technique for constrained global optimization. It is a combination of the electromagnetism-like (EM) mechanism with a random local search, which is a derivative-free procedure with high ability of producing a descent direction. Since the original EM algorithm is specifically designed for solving bound constrained problems, the approach herein adopted for handling the inequality constraints of the problem relies on selective conditions that impose a sufficient reduction either in the constraints violation or in the objective function value, when comparing two points at a time. The hybrid EM method is tested on a set of benchmark engineering design problems and the numerical results demonstrate the effectiveness of the proposed approach. A comparison with results from other stochastic methods is also included. |
| Related Links | https://core.ac.uk/download/pdf/55610416.pdf |
| Ending Page | 1946 |
| Page Count | 15 |
| Starting Page | 1932 |
| ISSN | 00207160 |
| e-ISSN | 10290265 |
| DOI | 10.1080/00207160902971533 |
| Journal | International Journal of Computer Mathematics |
| Issue Number | 10-11 |
| Volume Number | 86 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2009-11-01 |
| Access Restriction | Open |
| Subject Keyword | Interdisciplinary Mathematics Hybrid Method Electromagnetism-like Mechanism Descent Search Sufficient Reduction Engineering Design Problems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Computational Theory and Mathematics Computer Science Applications |
