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Using genetic algorithm approach to solve a multi-product EPQ model with defective items, rework, and constrained space
Hafshejani, Kiamars; Valmohammadi, Changiz; Khakpoor, … - In: Journal of industrial engineering international 8 (2012), pp. 1-8
The Economic Production Quantity (EPQ) model is often used in the manufacturing sector to assist firms in determining the optimal production lot size that minimizes overall production-inventory costs. There are some assumptions in the EPQ model that restrict this model for real-world...
Persistent link: https://www.econbiz.de/10009759540
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The fleet size and mix location-routing problem with time windows : formulations and a heuristic algorithm
Koç, Çağrı; Bektaş, Tolga; Jabali, Ola; Laporte, … - In: European journal of operational research : EJOR 248 (2016) 1, pp. 33-51
Persistent link: https://www.econbiz.de/10011434688
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A resource portfolio planning model using sampling-based stochastic programming and genetic algorithm
Wang, K.-J.; Wang, S.-M.; Chen, James-C. - In: European journal of operational research : EJOR 184 (2008) 1, pp. 327-340
Persistent link: https://www.econbiz.de/10003768214
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Solving the knapsack problem with imprecise weight coefficients using genetic algorithms
Lin, Feng-tse - In: European journal of operational research : EJOR 185 (2008) 1, pp. 133-145
Persistent link: https://www.econbiz.de/10003768740
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Genetic algorithms for portfolio selection problems with minimum transaction lots
Lin, Chang-chun; Liu, Yi-ting - In: European journal of operational research : EJOR 185 (2008) 1, pp. 393-404
Persistent link: https://www.econbiz.de/10003768790
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A new approach for solving linear bilevel problems using genetic algorithms
Calvete, Herminia I.; Galé, Carmen; Mateo, Pedro M. - In: European journal of operational research : EJOR 188 (2008) 1, pp. 14-28
Persistent link: https://www.econbiz.de/10003768934
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A linear programming embedded genetic algorithm for an integrated cell formation and lot sizing considering product quality
Defersha, Fantahun M.; Chen, Mingyuan - In: European journal of operational research : EJOR 187 (2008) 1, pp. 46-69
Persistent link: https://www.econbiz.de/10003769082
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An evolutionary artificial immune system for multi-objective optimization
Tan, K. C.; Goh, C. K.; Mamun, A. A.; Ei, E. Z. - In: European journal of operational research : EJOR 187 (2008) 2, pp. 371-392
Persistent link: https://www.econbiz.de/10003769263
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Improving benders decomposition using a genetic algorithm
Poojari, Chandra A.; Beasley, John E. - In: European journal of operational research : EJOR 199 (2009) 1, pp. 89-97
Persistent link: https://www.econbiz.de/10003863210
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Hybrid genetic algorithm for permutation flowshop scheduling problems with total flowtime minimization
Zhang, Yi; Li, Xiaoping; Wang, Qian - In: European journal of operational research : EJOR 196 (2009) 3, pp. 869-876
Persistent link: https://www.econbiz.de/10003824916