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
amga.cec09/AmgaFminconVisual.m
amga.cec09/cec09.m
amga.cec09/constraintFunctionAmga.m
amga.cec09/IGD.mexw32
amga.cec09/initializeProblemData.m
amga.cec09/objectiveFunctionAmga.m
amga.cec09/runAmgaFmincon.m
amga.cec09/runAmgaVisual.m
amga.cec09
amga.cec09/AmgaFminconVisual.m
amga.cec09/cec09.m
amga.cec09/constraintFunctionAmga.m
amga.cec09/IGD.mexw32
amga.cec09/initializeProblemData.m
amga.cec09/objectiveFunctionAmga.m
amga.cec09/runAmgaFmincon.m
amga.cec09/runAmgaVisual.m
amga.cec09
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