Advances in Hybrid Metaheuristics for Stochastic Manufacturing Scheduling: Part II Case Studies
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[1] Fulya Altiparmak,et al. Multi-objective optimization of a stochastic assembly line balancing: A hybrid simulated annealing algorithm , 2011, Comput. Ind. Eng..
[2] Mitsuo Gen,et al. Genetic algorithms and engineering optimization , 1999 .
[3] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[4] Wenqiang Zhang,et al. An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem , 2015, Journal of Intelligent Manufacturing.
[5] Mitsuo Gen,et al. A multiobjective genetic algorithm for Assembly Line Balancing problem with worker allocation , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.
[6] Willy Herroelen,et al. Project scheduling under uncertainty: Survey and research potentials , 2005, Eur. J. Oper. Res..
[7] Xingsheng Gu,et al. A novel parallel quantum genetic algorithm for stochastic job shop scheduling , 2009 .
[8] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[9] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[10] Mitsuo Gen,et al. Multiobjective Hybrid Genetic Algorithms for Manufacturing Scheduling: Part I Models and Algorithms , 2015 .
[11] Mitsuo Gen,et al. Network Models and Optimization: Multiobjective Genetic Algorithm Approach , 2008 .
[12] Jeonghan Ko,et al. Robust manufacturing line design with controlled moderate robustness in bottleneck buffer time to manage stochastic inter-task times , 2013 .
[13] Mitsuo Gen,et al. Effective multiobjective EDA for bi-criteria stochastic job-shop scheduling problem , 2017, J. Intell. Manuf..
[14] Nima Hamta,et al. Bi-criteria assembly line balancing by considering flexible operation times , 2011 .
[15] Lin Lin,et al. Multiobjective evolutionary algorithm for manufacturing scheduling problems: state-of-the-art survey , 2014, J. Intell. Manuf..
[16] Mitsuo Gen,et al. Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem , 2014, J. Intell. Manuf..
[17] Katsuhisa Ohno,et al. Effective Estimation of Distribution Algorithm for Stochastic Job Shop Scheduling Problem , 2013, Complex Adaptive Systems.
[18] Mitsuo Gen,et al. An efficient multiobjective genetic algorithm for mixed-model assembly line balancing problem considering demand ratio-based cycle time , 2011, J. Intell. Manuf..
[19] Mitsuo Gen,et al. Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm , 2006, J. Intell. Manuf..
[20] Alexandre Dolgui,et al. Assembly line balancing under uncertainty: Robust optimization models and exact solution method , 2013, Comput. Ind. Eng..
[21] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[22] Walter J. Gutjahr,et al. Stochastic multi-objective optimization: a survey on non-scalarizing methods , 2016, Ann. Oper. Res..
[23] Xinchang Hao,et al. Advances in Hybrid Metaheuristics for Stochastic Manufacturing Scheduling: Part I Models and Methods , 2017 .
[24] De-ming Lei,et al. Minimizing makespan for scheduling stochastic job shop with random breakdown , 2012, Appl. Math. Comput..
[25] Wenqiang Zhang,et al. Multi-objective Evolutionary Algorithm with Strong Convergence of Multi-area for Assembly Line Balancing Problem with Worker Capability , 2013, Complex Adaptive Systems.
[26] Deming Lei. Pareto archive particle swarm optimization for multi-objective fuzzy job shop scheduling problems , 2008 .
[27] Mitsuo Gen,et al. An effective Markov network based EDA for flexible job shop scheduling problems under uncertainty , 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).
[28] Mitsuo Gen,et al. Multiobjective Hybrid Genetic Algorithms for Manufacturing Scheduling: Part II Case Studies of HDD and TFT-LCD , 2015 .
[29] Hamed Fazlollahtabar,et al. A heuristic methodology for assembly line balancing considering stochastic time and validity testing , 2011 .
[30] Yazid Mati,et al. A genetic local search algorithm for minimizing total weighted tardiness in the job-shop scheduling problem , 2008, Comput. Oper. Res..