A genetic algorithm for operation sequencing in CAPP using edge selection based encoding strategy
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DOI: 10.1007/s10845-015-1109-6
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- Moon, Chiung & Kim, Jongsoo & Choi, Gyunghyun & Seo, Yoonho, 2002. "An efficient genetic algorithm for the traveling salesman problem with precedence constraints," European Journal of Operational Research, Elsevier, vol. 140(3), pages 606-617, August.
- Gilbert Laporte & Jorge Riera-Ledesma & Juan-José Salazar-González, 2003. "A Branch-and-Cut Algorithm for the Undirected Traveling Purchaser Problem," Operations Research, INFORMS, vol. 51(6), pages 940-951, December.
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Cited by:
- Abdullah Falih & Ahmed Z. M. Shammari, 2020. "Hybrid constrained permutation algorithm and genetic algorithm for process planning problem," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1079-1099, June.
- Oscar Alberto Alvarez-Flores & Raúl Rivera-Blas & Luis Armando Flores-Herrera & Emmanuel Zenén Rivera-Blas & Miguel Angel Funes-Lora & Paola Andrea Niño-Suárez, 2024. "A Novel Modified Discrete Differential Evolution Algorithm to Solve the Operations Sequencing Problem in CAPP Systems," Mathematics, MDPI, vol. 12(12), pages 1-20, June.
- Luo, Kaiping & Shen, Guangya & Li, Liheng & Sun, Jianfei, 2023. "0-1 mathematical programming models for flexible process planning," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1160-1175.
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Keywords
Genetic algorithm; Operation sequencing; Edge selection based encoding strategy; CAPP;All these keywords.
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