Memetic clonal selection algorithm with EDA vaccination for unconstrained binary quadratic programming problems

► MCSA-EDA proposes an estimation of distribution algorithm (EDA) vaccination, as hypermutation and recombination operator, to effectively use the global statistical information to guide the search. ► MCSA-EDA introduces three components, i.e., EDA vaccination, fitness uniform selection scheme and a...

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Vydáno v:	Expert systems with applications Ročník 38; číslo 6; s. 7817 - 7827
Hlavní autoři:	Cai, Yiqiao, Wang, Jiahai, Yin, Jian, Zhou, Yalan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.06.2011
Témata:	Algorithms Antibodies Computer simulation Estimation of distribution Expert systems Fitness Fitness uniform selection Memetic clonal selection algorithm Operators Performance enhancement Quadratic programming Searching Tabu search Unconstrained binary quadratic programming problem Fitness uniform selection Tabu search Estimation of distribution Memetic clonal selection algorithm Unconstrained binary quadratic programming problem
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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