2010
DOI: 10.1007/978-3-642-12869-1_3
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A Retrospective of Differential Evolution in Electromagnetics

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Cited by 5 publications
(6 citation statements)
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“…the corresponding array factor, AF Rc k (u, t) of the corrected pattern at k th order harmonic is expressed as pattern (AF Ref k (u, t)), the global search evolutionary optimization algorithm namely, DE [38,39] with DE/rand/1/bin strategy is used. To realize the patterns, the cost function is defined as…”
Section: Failure Correctionmentioning
confidence: 99%
See 1 more Smart Citation
“…the corresponding array factor, AF Rc k (u, t) of the corrected pattern at k th order harmonic is expressed as pattern (AF Ref k (u, t)), the global search evolutionary optimization algorithm namely, DE [38,39] with DE/rand/1/bin strategy is used. To realize the patterns, the cost function is defined as…”
Section: Failure Correctionmentioning
confidence: 99%
“…Under the failure condition, the set switching parameters corresponding to the utilized switching pulse are properly tuned to correct the distorted patterns. To determine the optimum switching parameters for the corrected array patterns ; = R , T ) at k = 0 and closed to the desired reference pattern , the global search evolutionary optimization algorithm namely, DE [38, 39] with DE/rand/1/bin strategy is used. To realize the patterns, the cost function is defined asHere, g represents the iteration index of the iterative evolutionary algorithm; represents the optimization parameter vector.…”
Section: Theory and Problem Formulationmentioning
confidence: 99%
“…As this algorithm is a member of evolutionary group so it has all the merits of these algorithms: strong ability of global searching, versatility to problem features [20].…”
Section: ∀I ∈ Nmentioning
confidence: 99%
“…Saling et al [15] highlighted the importance of probabilistic Design in avoiding rare event phenomena by computing failure analysis. Duan et al in their review [16] highlighted the role of differential evolution (DE) for Electromagnetic problem, but, Qing et al [17] found that though it shows the great promise in Electromagnetism because of its natural advantage over deterministic optimization algorithm, its application in Electromagnetism is seriously lagging behind application in other fields. Thus, as a tool, DE is not matures enough compared to established Genetic Algorithm and Evolution strategy.…”
Section: Literature Reviewmentioning
confidence: 99%