51. Differential evolution for dynamic environments with unknown numbers of optima.
- Author
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Plessis, Mathys and Engelbrecht, Andries
- Subjects
ALGORITHMS ,ALGEBRA ,MATHEMATICAL programming ,MATHEMATICAL optimization ,COMPUTER programming - Abstract
This paper investigates optimization in dynamic environments where the numbers of optima are unknown or fluctuating. The authors present a novel algorithm, Dynamic Population Differential Evolution (DynPopDE), which is specifically designed for these problems. DynPopDE is a Differential Evolution based multi-population algorithm that dynamically spawns and removes populations as required. The new algorithm is evaluated on an extension of the Moving Peaks Benchmark. Comparisons with other state-of-the-art algorithms indicate that DynPopDE is an effective approach to use when the number of optima in a dynamic problem space is unknown or changing over time. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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