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Accelerating Differential Evolution Using an Adaptive Local Search
Abstract
We propose a crossover-based adaptive local search (LS) operation for enhancing the performance of standard differential evolution (DE) algorithm. Incorporating LS heuristics is often very useful in designing an effective evolutionary algorithm for global optimization. However, determining a single LS length that can serve for a wide range of problems is a critical issue. We present a LS technique to solve this problem by adaptively adjusting the length of the search, using a hill-climbing heuristic. The emphasis of this paper is to demonstrate how this LS scheme can improve the performance of DE. Experimenting with a wide range of benchmark functions, we show that the proposed new version of DE, with the adaptive LS, performs better, or at least comparably, to classic DE algorithm. Performance comparisons with other LS heuristics and with some other well-known evolutionary algorithms from literature are also presented.
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Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Completely Derandomized Self-Adaptation in Evolution Strategies
Hansen, N., & Ostermeier, A. (2001) · Evolutionary Computation · doi:10.1162/106365601750190398 · Cited by 4,397
Cited by
Differential Evolution: A Survey of the State-of-the-Art
Das, S., & Suganthan, P. N. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2010.2059031 · Cited by 5,307
Differential Evolution With Ranking-Based Mutation Operators
Gong, W., & Cai, Z. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2013.2239988 · Cited by 401
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators
Epitropakis, M. G., Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., & Vrahatis, M. N. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2010.2083670 · Cited by 316
Metadata
- Authors
- Noman, N., & Iba, H.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2008-02
- Volume
- 12
- Issue
- 1
- Pages
- 107-125
- ISSN
- 1089-778X (ISSN-L)
- 1941-0026
- OpenAlex
- W2166513470
- Cited by
- 610
- References
- 2
- FWCI
- 83.21
- Type
- journal article
- Language
- en
- Open access
- closed
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