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Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization.
Hisao Ishibuchi
Noritaka Tsukamoto
Yuji Sakane
Yusuke Nojima
Published in:
IEEE Congress on Evolutionary Computation (2009)
Keyphrases
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multiple objectives
multi objective
nsga ii
continuous functions
genetic algorithm
reference point
error bounds
closed form
evolutionary computation
approximation error
neural network
basis functions
bi objective
evolutionary algorithm
evolutionary optimization
submodular functions
uniform design