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• W2415593912 abstract "Green material selection with energy-consideration (GMS-EC) in product design is a key issue for realizing green and sustainable manufacturing. In this paper, a comprehensive optimization model for GMS-EC is established. A hybrid optimizing method named chaos quantum group leader algorithm (CQGLA) is designed to obtain the optimal energy-consumption solution in designing products with various complexity. Compared with genetic algorithm (GA), group leader algorithm (GLA) and artificial bee colony algorithm (ABCA), it is observed that CQGLA can perform better in terms of speed, search capability and solution quality." @default.
• W2415593912 created "2016-06-24" @default.
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• W2415593912 date "2016-01-01" @default.
• W2415593912 modified "2023-09-27" @default.
• W2415593912 title "A hybrid group leader algorithm for green material selection with energy consideration in product design" @default.
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• W2415593912 doi "https://doi.org/10.1016/j.cirp.2016.04.086" @default.
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