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• W1981103421 abstract "Complex system configuration problems are the problems of appropriately assigning system parameter values for optimizing some aspect of complex system performance. In this paper, we first cast complex system configuration problems as mixed-variable parameter optimization problems where mensurable system simulation responses are used for evaluation. Then we present a simulation-based ant colony optimization algorithm (sACO MV ) to tackle the problems. In sACO MV the decision variables of the complex system configuration problems can be clearly declared as continuous, ordinal, or categorical and let the algorithm treat them adequately. Finally, sACO MV is tested on mixed-variable complex engineering system configuration problems. The effectiveness and robustness of sACO MV are demonstrated by the comparisons with results from the literature." @default.
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• W1981103421 date "2014-06-01" @default.
• W1981103421 modified "2023-09-25" @default.
• W1981103421 title "Simulation-based ant colony optimization for complex system configuration problems" @default.
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• W1981103421 doi "https://doi.org/10.1109/sysose.2014.6892497" @default.
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