Modelling of job-shop scheduling with multiple quantitative and qualitative objectives and a GA/TS mixture approach
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[1] Fred W. Glover,et al. Tabu Search - Part I , 1989, INFORMS J. Comput..
[2] J. Barnes,et al. Solving the job shop scheduling problem with tabu search , 1995 .
[3] Rong-Kwei Li,et al. A heuristic rescheduling algorithm for computer-based production scheduling systems , 1993 .
[4] Fred Glover,et al. Tabu Search - Part II , 1989, INFORMS J. Comput..
[5] M. Kuroda,et al. Fuzzy Job Shop Scheduling , 1996 .
[6] Tae-Eog Lee,et al. A tabu search procedure for periodic job shop scheduling , 1996 .
[7] Gunar E. Liepins,et al. Genetic algorithms: Foundations and applications , 1990 .
[8] Belarmino Adenso-Díaz,et al. An SA/TS mixture algorithm for the scheduling tardiness problem , 1996 .
[9] Hideo Tanaka,et al. Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems , 1994 .
[10] Hiroaki Ishii,et al. One machine scheduling problem with fuzzy duedates , 1994 .
[11] T. Saaty. Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process , 2000 .
[12] M. Gen,et al. An effective method for solving flow shop scheduling problems with fuzzy processing times , 1993 .
[13] Kenneth A. De Jong,et al. Using Genetic Algorithms to Solve NP-Complete Problems , 1989, ICGA.
[14] Hiroaki Ishii,et al. Two scheduling problems with fuzzy due-dates , 1992 .
[15] H. Ishibuchi,et al. Multi-objective genetic algorithm and its applications to flowshop scheduling , 1996 .
[16] Mitsuo Gen,et al. A tutorial survey of job-shop scheduling problems using genetic algorithms—I: representation , 1996 .
[17] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[18] Yuehwern Yih,et al. Integration of inductive learning and neural networks for multi-objective FMS scheduling , 1998 .
[19] Richard L. Daniels,et al. Incorporating preference information into multi-objective scheduling , 1994 .
[20] Hisao Ishibuchi,et al. Performance evaluation of genetic algorithms for flowshop scheduling problems , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[21] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .
[22] P. Mellor,et al. A Review of Job Shop Scheduling , 1966 .
[23] Rajarshi Das,et al. A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization , 1989, ICGA.
[24] J. A. Svestka,et al. Rescheduling job shops under random disruptions , 1997 .
[25] J. R. Brown,et al. “Priority Class Scheduling: Production Scheduling for Multi-objective Environments , 1997 .
[26] Marc H. J. Romanycia,et al. What is a heuristic? , 1985 .
[27] Harvey J. Greenberg,et al. New approaches for heuristic search: A bilateral linkage with artificial intelligence , 1989 .
[28] Fred Glover,et al. Tabu Search: A Tutorial , 1990 .
[29] Jian-Bo Yang,et al. Multiple Attribute Decision Making , 1998 .
[30] Hisao Ishibuchi,et al. A multi-objective genetic local search algorithm and its application to flowshop scheduling , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[31] E.Stanley Lee,et al. Fuzzy job sequencing for a flow shop , 1992 .
[32] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[33] Jatinder N. D. Gupta,et al. Genetic algorithms for the two-stage bicriteria flowshop problem , 1996 .
[34] Rong-Kwei Li,et al. A NEW RESCHEDULING METHOD FOR COMPUTER-BASED SCHEDULING SYSTEMS , 1995 .
[35] H. Ishibuchi,et al. Local search algorithms for flow shop scheduling with fuzzy due-dates☆ , 1994 .
[36] C. S. George Lee,et al. An evolutionary approach to the job-shop scheduling problem , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[37] Ching-Fang Liaw,et al. A hybrid genetic algorithm for the open shop scheduling problem , 2000, Eur. J. Oper. Res..
[38] P. W. Poon,et al. Genetic algorithm crossover operators for ordering applications , 1995, Comput. Oper. Res..
[39] E. Lee,et al. Ranking of fuzzy sets based on the concept of existence , 1994 .
[40] Yuehwern Yih,et al. A competitive neural network approach to multi-objective FMS scheduling , 1998 .
[41] Peter Mertens,et al. Combining knowledge-based systems and simulation to solve rescheduling problems , 1996, Decis. Support Syst..
[42] Emanuel Falkenauer,et al. A genetic algorithm for job shop , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.
[43] Fred Glover,et al. Tabu search methods for a single machine scheduling problem , 1991, J. Intell. Manuf..
[44] R. F. Brown,et al. PERFORMANCE EVALUATION , 2019, ISO 22301:2019 and business continuity management – Understand how to plan, implement and enhance a business continuity management system (BCMS).