文件名称:amga.cec09
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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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下载文件列表
amga.cec09\amga.jar
..........\AmgaFminconVisual.m
..........\cec09.m
..........\constraintFunctionAmga.m
..........\IGD.mexw32
..........\initializeProblemData.m
..........\objectiveFunctionAmga.m
..........\runAmgaFmincon.m
..........\runAmgaVisual.m
amga.cec09
..........\AmgaFminconVisual.m
..........\cec09.m
..........\constraintFunctionAmga.m
..........\IGD.mexw32
..........\initializeProblemData.m
..........\objectiveFunctionAmga.m
..........\runAmgaFmincon.m
..........\runAmgaVisual.m
amga.cec09