An alternative hybrid evolutionary technique focused on allocating machines and sequencing operations

Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Bahia Blanca. Instituto de Investigaciones Economicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economia. Instituto de Investigaciones Economicas y Sociales del Sur; Argentina. Universidad Nacional del Sur; Argentina

[1]  Lothar Thiele,et al.  A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers , 2006 .

[2]  Jan Karel Lenstra,et al.  Job Shop Scheduling by Simulated Annealing , 1992, Oper. Res..

[3]  Mitsuo Gen,et al.  Multistage-Based Genetic Algorithm for Flexible Job-Shop Scheduling Problem , 2009 .

[4]  Nhu Binh Ho,et al.  Evolving dispatching rules for solving the flexible job-shop problem , 2005, 2005 IEEE Congress on Evolutionary Computation.

[5]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[6]  Mostafa Zandieh,et al.  Flexible job-shop scheduling with parallel variable neighborhood search algorithm , 2010, Expert Syst. Appl..

[7]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[8]  Jian Xiong,et al.  A Hybrid Multiobjective Evolutionary Approach for Flexible Job-Shop Scheduling Problems , 2012 .

[9]  Eckart Zitzler,et al.  Indicator-Based Selection in Multiobjective Search , 2004, PPSN.

[10]  Jason Chao-Hsien Pan,et al.  A hybrid genetic algorithm for no-wait job shop scheduling problems , 2009, Expert Syst. Appl..

[11]  Quan-Ke Pan,et al.  An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems , 2012, Appl. Math. Comput..

[12]  Vinicius Amaral Armentano,et al.  Tabu search for minimizing total tardiness in a job shop , 2000 .

[13]  M. Frutos,et al.  Choice of a PISA selector in a hybrid algorithmic structure for the FJSSP , 2015 .

[14]  Achim Koberstein,et al.  Modeling and optimizing of strategic and tactical production planning in the automotive industry under uncertainty , 2009, OR Spectr..

[15]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[16]  Gideon Weiss,et al.  A fluid approach to large volume job shop scheduling , 2010, J. Sched..

[17]  Hua Xu,et al.  Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms , 2015, IEEE Transactions on Automation Science and Engineering.

[18]  Nidhish Mathew Nidhiry,et al.  Evaluation of Genetic Algorithm Approach for Scheduling Optimization of Flexible Manufacturing Systems , 2012 .

[19]  Fernando A. Tohmé,et al.  A memetic algorithm based on a NSGAII scheme for the flexible job-shop scheduling problem , 2010, Ann. Oper. Res..

[20]  Cheng-Fa Tsai,et al.  A new hybrid heuristic technique for solving job-shop scheduling problem , 2003, Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings.

[21]  John W. Fowler,et al.  Heuristics for minimizing regular performance measures in unrelated parallel machine scheduling problems , 2011, Comput. Oper. Res..

[22]  Li-Ning Xing,et al.  Multi-population interactive coevolutionary algorithm for flexible job shop scheduling problems , 2011, Comput. Optim. Appl..

[23]  Marco Laumanns,et al.  SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization , 2002 .

[24]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[25]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) , 2006 .

[26]  Y.C. Liang,et al.  Genetic algorithm application on the job shop scheduling problem , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[27]  Nhu Binh Ho,et al.  An effective architecture for learning and evolving flexible job-shop schedules , 2007, Eur. J. Oper. Res..

[28]  Graham Kendall,et al.  An improved constraint satisfaction adaptive neural network for job-shop scheduling , 2010, J. Sched..

[29]  Pierre Borne,et al.  Evolution programs for job-shop scheduling , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[30]  Federico Della Croce,et al.  A matheuristic approach for the two-machine total completion time flow shop problem , 2014, Ann. Oper. Res..

[31]  Paolo Brandimarte,et al.  Routing and scheduling in a flexible job shop by tabu search , 1993, Ann. Oper. Res..

[32]  Chinyao Low,et al.  Genetic algorithm-based heuristics for an open shop scheduling problem with setup, processing, and removal times separated , 2009 .

[33]  Jeffrey D. Ullman,et al.  NP-Complete Scheduling Problems , 1975, J. Comput. Syst. Sci..

[34]  Ronny S. Hansmann,et al.  Flexible job shop scheduling with blockages , 2014, Math. Methods Oper. Res..

[35]  Joc Cing Tay,et al.  An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules , 2004, GECCO.

[36]  Pierre Borne,et al.  Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems , 2002, IEEE Trans. Syst. Man Cybern. Part C.

[37]  Song Wang,et al.  A Hybrid Artificial Bee Colony Algorithm for Flexible Job Shop Scheduling Problems , 2011, Int. J. Comput. Commun. Control.

[38]  Fariborz Jolai,et al.  Mathematical modeling and heuristic approaches to flexible job shop scheduling problems , 2007, J. Intell. Manuf..

[39]  F. Pezzella,et al.  A genetic algorithm for the Flexible Job-shop Scheduling Problem , 2008, Comput. Oper. Res..

[40]  F. Pettersson,et al.  Hybrid ant colony optimization and visibility studies applied to a job-shop scheduling problem , 2007, Appl. Math. Comput..

[41]  Quan-Ke Pan,et al.  Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems , 2011 .

[42]  Alessandro Agnetis,et al.  A job-shop problem with one additional resource type , 2011, J. Sched..

[43]  Marco Laumanns,et al.  PISA: A Platform and Programming Language Independent Interface for Search Algorithms , 2003, EMO.

[44]  J. Christopher Beck,et al.  Understanding the behavior of Solution-Guided Search for job-shop scheduling , 2011, J. Sched..

[45]  Eugeniusz Nowicki,et al.  An Advanced Tabu Search Algorithm for the Job Shop Problem , 2005, J. Sched..