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A new tool in electrostatics using a really-coded multipopulation genetic algorithm tuned through analytical test problems

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Publication:1852125
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DOI10.1016/S0965-9978(00)00099-5zbMath1003.68572MaRDI QIDQ1852125

Patrick Siarry, Mourad Bessaou

Publication date: 9 January 2003

Published in: Advances in Engineering Software (Search for Journal in Brave)


zbMATH Keywords

global optimizationgenetic algorithmselectrostaticsmultimodal continuous functions


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Electro- and magnetostatics (78A30) Optimization problems in optics and electromagnetic theory (78M50)


Related Items (4)

Two storage inventory model in a mixed environment ⋮ A partial backlogging inventory model for deteriorating item under fuzzy inflation and discounting over random planning horizon: a fuzzy genetic algorithm approach ⋮ Finding sums of powers using physical arguments ⋮ Inventory model of a deteriorating item with price and credit linked fuzzy demand: a fuzzy differential equation approach




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