JOSE RAMIRO
VARELA ARIAS
Catedrático de Universidad
Universidad de Cantabria
Santander, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Cantabria (12)
2015
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An advanced scatter search algorithm for solving job shops with sequence dependent and non-anticipatory setups
AI Communications, Vol. 28, Núm. 2, pp. 179-193
2014
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Solving fuzzy job-shop scheduling problems with a multiobjective optimizer
Advances in Intelligent Systems and Computing
2013
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Lateness minimization with Tabu search for job shop scheduling problem with sequence dependent setup times
Journal of Intelligent Manufacturing, Vol. 24, Núm. 4, pp. 741-754
2012
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An efficient hybrid evolutionary algorithm for scheduling with setup times and weighted tardiness minimization
Soft Computing, Vol. 16, Núm. 12, pp. 2097-2113
2009
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An effective solution for a real cutting stock problem in manufacturing plastic rolls
Annals of Operations Research, Vol. 166, Núm. 1, pp. 125-146
2008
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A new admissible heuristic for the job shop scheduling problem with total flow time
COPLAS'08 - International Joint CP/ICAPS Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems, Workshop Proceedings
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A new local search for the job shop problem with uncertain durations
ICAPS 2008 - Proceedings of the 18th International Conference on Automated Planning and Scheduling
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A study of schedule robustness for job shop with uncertainty
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Improving cutting-stock plans with multi-objective genetic algorithm
Communications in Computer and Information Science
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Pruning search space by dominance rules in best first search for the job shop scheduling problem
ICSOFT 2008 - Proceedings of the 3rd International Conference on Software and Data Technologies
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Semantics of schedules for the fuzzy job-shop problem
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, Vol. 38, Núm. 3, pp. 655-666
2007
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A multi-objective genetic algorithm for cutting-stock in plastic rolls industry
ICSOFT 2007 - 2nd International Conference on Software and Data Technologies, Proceedings