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A dynamic programming–enhanced simulated annealing algorithm for solving bi-objective cell formation problem with duplicate machines

机译：一种动态规划增强模拟退火算法，用于解决复制机器的双目标细胞形成问题

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作者
Mohammad Mohammadi; Kamran Forghani;
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年度 2015
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1. A hybrid method based on genetic algorithm and dynamic programming for solving a bi-objective cell formation problem considering alternative process routings and machine duplication [J] . Mohammadi Mohammad, Forghani Kamran Applied Soft Computing . 2017,第期

机译：一种基于遗传算法的混合方法和用于解决替代过程路由和机器重复的双目标细胞形成问题的动态规划
2. Solving an integrated cell formation and group layout problem using a simulated annealing enhanced by linear programming [J] . Soft computing: A fusion of foundations, methodologies and applications . 2020,第15期

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3. Machine cell formation for dynamic part population considering part operation trade-off and worker assignment using simulated annealing-based genetic algorithm [J] . Deep Kamal European Journal of Industrial Engineering . 2020,第2期

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4. Solving the Cubic Cell Formation Problem Using Simulated Annealing Algorithm to Develop Multiple Configurations [C] . Hamida Bouaziz, Ali Lemouari International Conference on Theoretical and Applicative Aspects of Computer Science . 2019

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5. Solving large transportation -location problems by simulated annealing with linear programming (SA/LP) [D] . Chowdhury, Hasan Imtiaz 2000

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6. Graphics Processing Unit–Enhanced Genetic Algorithms for Solving the Temporal Dynamics of Gene Regulatory Networks [O] . Raúl García-Calvo, JL Guisado, Fernando Diaz-del-Rio, 2018

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7. An Enhanced Simulated Annealing Algorithm for Solving the Cell Assignment Problem of the Two-Level Wireless ATM Network [O] . Din Der-Rong 2012

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A dynamic programming–enhanced simulated annealing algorithm for solving bi-objective cell formation problem with duplicate machines

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