An improved NSGA-II to solve multi-objective optimization problem

NSGA-II(nondominated sorting genetic algorithm II) is a popular multi-objective evolution algorithm (MOEA), which applies binary tournament selection, elitist preserving strategy, nondominated sorting and crowding distance mechanism to obtain a good quality and uniform spread nondominated solution s...

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Vydané v:	Chinese Control and Decision Conference s. 1037 - 1040
Hlavní autori:	Yaping Fu, Min Huang, Hongfeng Wang, Guanjie Jiang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2014
Predmet:	Evolutionary computation Genetic algorithms Local search acceptance with probability Measurement Multi-objective evolution algorithm Nondominated sorting genetic algorithm Optimization Sociology Sorting Statistics
ISBN:	147993707X, 9781479937073
ISSN:	1948-9439
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