A population-based algorithm for the bi-objective assembly line worker assignment and balancing problem
暂无分享,去创建一个
[1] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[2] Rajkumar Roy,et al. Evolutionary-based techniques for real-life optimisation: development and testing , 2002, Appl. Soft Comput..
[3] Jason R. Schott. Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization. , 1995 .
[4] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[5] Andreas C. Nearchou,et al. Balancing large assembly lines by a new heuristic based on differential evolution method , 2007 .
[6] Marcus Ritt,et al. A heuristic and a branch-and-bound algorithm for the Assembly Line Worker Assignment and Balancing Problem , 2014, Comput. Oper. Res..
[7] Ilker Baybars,et al. A survey of exact algorithms for the simple assembly line balancing , 1986 .
[8] Andreas C. Nearchou,et al. Multi-objective balancing of assembly lines by population heuristics , 2008 .
[9] Jordi Pereira,et al. A branch-and-bound algorithm for assembly line worker assignment and balancing problems , 2014, Comput. Oper. Res..
[10] Tong Heng Lee,et al. Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[11] Erik Demeulemeester,et al. Workforce Planning Incorporating Skills: State of the Art , 2014, Eur. J. Oper. Res..
[12] Mayron César O. Moreira. The assembly line worker integration and balancing problem , 2015, Comput. Oper. Res..
[13] Mehrdad Tamiz,et al. Multi-objective meta-heuristics: An overview of the current state-of-the-art , 2002, Eur. J. Oper. Res..
[14] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[15] Shinn-Ying Ho,et al. A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm , 2005 .
[16] Andreas C. Nearchou,et al. Maximizing production rate and workload smoothing in assembly lines using particle swarm optimization , 2011 .
[17] Armin Scholl,et al. Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing , 2013, Eur. J. Oper. Res..
[18] Yong Yin,et al. Training and assignment of multi-skilled workers for implementing seru production systems , 2013 .
[19] Carlos Andrés,et al. Advantages of assembly lines in Sheltered Work Centres for Disabled. A case study , 2007 .
[20] James C. Bean,et al. Genetic Algorithms and Random Keys for Sequencing and Optimization , 1994, INFORMS J. Comput..
[21] Nils Boysen,et al. A classification of assembly line balancing problems , 2007, Eur. J. Oper. Res..
[22] Alexandre Dolgui,et al. A taxonomy of line balancing problems and their solutionapproaches , 2013 .
[23] Christian Blum,et al. On solving the assembly line worker assignment and balancing problem via beam search , 2011, Comput. Oper. Res..
[24] Alysson M. Costa,et al. Simple heuristics for the assembly line worker assignment and balancing problem , 2010, Journal of Heuristics.
[25] Olcay Polat,et al. An iterative genetic algorithm for the assembly line worker assignment and balancing problem of type-II , 2013, Comput. Oper. Res..
[26] Mitsuo Gen,et al. Genetic algorithms and engineering optimization , 1999 .
[27] Carlos Andrés,et al. Branch and bound procedures for solving the Assembly Line Worker Assignment and Balancing Problem: Application to Sheltered Work centres for Disabled , 2008, Discret. Appl. Math..
[28] Gary B. Lamont,et al. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art , 2000, Evolutionary Computation.
[29] Luiz Antonio Nogueira Lorena,et al. Hybrid Metaheuristic for the Assembly Line Worker Assignment and Balancing Problem , 2009, Hybrid Metaheuristics.
[30] Armin Scholl,et al. Balancing and Sequencing of Assembly Lines , 1995 .
[31] Yeongho Kim,et al. Genetic algorithms for assembly line balancing with various objectives , 1996 .
[32] Douglas H. Norrie,et al. Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey , 1999, Knowledge and Information Systems.
[33] Carlos A. Coello Coello,et al. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques , 1999, Knowledge and Information Systems.
[34] Julia Rieck,et al. Integrated production and staff planning for heterogeneous, parallel assembly lines: an application in the automotive industry , 2014 .
[35] Alysson M. Costa,et al. Hybrid heuristics for planning job rotation schedules in assembly lines with heterogeneous workers , 2013 .
[36] H. Ishibuchi,et al. Multi-objective genetic algorithm and its applications to flowshop scheduling , 1996 .