MARIA RITA
SIERRA SANCHEZ
Profesora Titular de Universidad
CARLOS
MENCIA CASCALLANA
Profesor Titular de Universidad
Publicaciones en las que colabora con CARLOS MENCIA CASCALLANA (24)
2023
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Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity
Expert Systems with Applications, Vol. 233
2022
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Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling
Natural Computing, Vol. 21, Núm. 4, pp. 553-563
2021
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Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity
Swarm and Evolutionary Computation, Vol. 66
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Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms
Integrated Computer-Aided Engineering, Vol. 28, Núm. 1, pp. 65-80
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The optimal filtering set problem with application to surrogate evaluation in genetic programming
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
2020
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Exhaustive search of priority rules for on-line scheduling
Frontiers in Artificial Intelligence and Applications
2019
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Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time
Applied Soft Computing Journal, Vol. 85
2018
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Evolutionary one-machine scheduling in the context of electric vehicles charging
Integrated Computer-Aided Engineering, Vol. 26, Núm. 1, pp. 49-63
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Genetic programming to evolve priority rules for on-line scheduling on single machine with variable capacity
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
2017
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Genetic algorithm for scheduling charging times of electric vehicles subject to time dependent power availability
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016
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Genetic algorithms for the scheduling problem with arbitrary precedence relations and skilled operators
Integrated Computer-Aided Engineering
2015
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Memetic algorithms for the job shop scheduling problem with operators
Applied Soft Computing Journal, Vol. 34, pp. 94-105
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New schedule generation schemes for the job-shop problem with operators
Journal of Intelligent Manufacturing, Vol. 26, Núm. 3, pp. 511-525
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Schedule generation schemes and genetic algorithm for the scheduling problem with skilled operators and arbitrary precedence relations
Proceedings International Conference on Automated Planning and Scheduling, ICAPS
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Solving the job shop scheduling problem with operators by depth-first heuristic search enhanced with global pruning rules
AI Communications, Vol. 28, Núm. 2, pp. 365-381
2014
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A genetic algorithm for job-shop scheduling with operators enhanced by weak Lamarckian evolution and search space narrowing
Natural Computing, Vol. 13, Núm. 2, pp. 179-192
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Intensified iterative deepening A* with application to job shop scheduling
Journal of Intelligent Manufacturing, Vol. 25, Núm. 6, pp. 1245-1255
2013
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An efficient hybrid search algorithm for job shop scheduling with operators
International Journal of Production Research, Vol. 51, Núm. 17, pp. 5221-5237
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Depth-first heuristic search for the job shop scheduling problem
Annals of Operations Research, Vol. 206, Núm. 1, pp. 265-296
2012
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Robust solutions to job-shop scheduling problems with operators
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI