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Optimisation of the reverse scheduling problem by a modified genetic algorithm
Mou, Jianhui; Gao, Liang; Li, Xinyu; Lu, Chao; Hu, Hongjie - In: International journal of production research 53 (2015) 23/24, pp. 6980-6993
Persistent link: https://www.econbiz.de/10011431567
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An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
Li, Xinyu; Gao, Liang - In: International journal of production economics 174 (2016), pp. 93-110
Persistent link: https://www.econbiz.de/10011448564
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Integration of process planning and scheduling : a modified genetic algorithm-based approach
Shao, Xinyu; Li, Xinyu; Gao, Liang; Zhang, Chaoyong - In: Computers & operations research : and their … 36 (2009) 6, pp. 2082-2096
Persistent link: https://www.econbiz.de/10003828425
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Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
Li, Xinyu; Gao, Liang; Shao, Xinyu; Zhang, Chaoyong; … - In: Computers & operations research : and their … 37 (2010) 4, pp. 656-667
Persistent link: https://www.econbiz.de/10003944419
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A genetic algorithm for lot sizing and scheduling under capacity constraints and allowing backorders
Gonçalves, José Fernando; Sousa, Paulo S. A. - In: International journal of production research 49 (2011) 9, pp. 2683-2703
Persistent link: https://www.econbiz.de/10008908235
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Biased random-key genetic algorithms for combinatorial optimization
Gonçalves, José Fernando; Resende, Mauricio G. C. - In: Journal of heuristics 17 (2011) 5, pp. 487-525
Persistent link: https://www.econbiz.de/10009374328
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A biased random-key genetic algorithm with forward-backward improvement for the resource constrained project scheduling problem
Gonçalves, José Fernando; Resende, Mauricio G. C.; … - In: Journal of heuristics 17 (2011) 5, pp. 467-486
Persistent link: https://www.econbiz.de/10009374332
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A hybrid genetic algorithm and tabu search for multi-objective dynamic job shop scheduling problem
Zhang, Liping; Gao, Liang; Li, Xinyu - In: International journal of production research 51 (2013) 12, pp. 3516-3531
Persistent link: https://www.econbiz.de/10009775801
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An extended Akers graphical method with a biased random-key genetic algorithm for job-shop scheduling
Gonçalves, José Fernando; Resende, Mauricio G. C. - In: International transactions in operational research : … 21 (2014) 2, pp. 215-246
Persistent link: https://www.econbiz.de/10010256680
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A genetic algorithm approach for the single machine scheduling problem with linear earliness and quadratic tardiness penalties
Valente, Jorge M. S.; Gonçalves, José Fernando - In: Computers & operations research : and their … 36 (2009) 10, pp. 2707-2715
Persistent link: https://www.econbiz.de/10003906941