Teo, Jason Tze Wi and Asni Tahir and Norhayati Daut and Nordaliela Mohd Rusli and Norazlina Khamis (2016) Fixed vs. self-adaptive crossover first differential evolution. Applied Mathematical Sciences, 10 (32). pp. 1603-1610. ISSN 1312-885X
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Abstract
Although the Differential Evolution (DE) algorithm is a powerful and commonly used stochastic evolutionary-based optimizer for solving non-linear, continuous optimization problems, it has a highly unconventional order of genetic operations when compared against canonical evolutionary-based optimizers whereby in DE, mutation is conducted first before crossover. This has led us to investigate both a fixed as well as self-adaptive crossover-first version of DE, of which the fixed version has yielded statistically significant improvements to its performance when solving two particular classes of continuous optimization problems. The self-adaptive version of this crossover-first DE was also observed to be producing optimization results which were superior than the conventional DE
| Item Type: | Article |
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| Keyword: | Evolutionary Optimization Algorithms; Differential Evolution; Global Non-Linear Optimization; Self-Adaptation; CEC 2005 Benchmark |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 31 Jan 2017 14:34 |
| Last Modified: | 25 Oct 2017 14:46 |
| URI: | https://eprints.ums.edu.my/id/eprint/15424 |
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