Journal
CHAOS SOLITONS & FRACTALS
Volume 44, Issue 9, Pages 710-718Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2011.06.004
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Funding
- UK Engineering and Physical Sciences Research Council at Swansea University
- EPSRC [EP/D074258/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/D074258/1] Funding Source: researchfish
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A new robust optimisation algorithm, which can be regarded as a modification of the recently developed cuckoo search, is presented. The modification involves the addition of information exchange between the top eggs, or the best solutions. Standard optimisation benchmarking functions are used to test the effects of these modifications and it is demonstrated that, in most cases, the modified cuckoo search performs as well as, or better than, the standard cuckoo search, a particle swarm optimiser, and a differential evolution strategy. In particular the modified cuckoo search shows a high convergence rate to the true global minimum even at high numbers of dimensions. (C) 2011 Elsevier Ltd. All rights reserved.
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