文件名称:AMGA
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hybrid Archive-based Micro Genetic Algorithm (AMGA) on
a set of bound-constrained synthetic test problems is reported.
The hybrid AMGA proposed in this paper is a combination of a
classical gradient based single-objective optimization algorithm
and an evolutionary multi-objective optimization algorithm.
a set of bound-constrained synthetic test problems is reported.
The hybrid AMGA proposed in this paper is a combination of a
classical gradient based single-objective optimization algorithm
and an evolutionary multi-objective optimization algorithm.
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