Javier
del Ser Lorente
Universidad de Málaga
Málaga, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Málaga (14)
2023
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Solving a Multi-objective Job Shop Scheduling Problem with an Automatically Configured Evolutionary Algorithm
Communications in Computer and Information Science
2022
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Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods
Swarm and Evolutionary Computation
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Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives
Applied Sciences (Switzerland), Vol. 12, Núm. 3
2021
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A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
Swarm and Evolutionary Computation, Vol. 64
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MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
2019
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Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0
Engineering Applications of Artificial Intelligence, Vol. 82, pp. 30-43
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Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives
Applied Soft Computing Journal, Vol. 79, pp. 30-45
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jMetalPy: A Python framework for multi-objective optimization with metaheuristics
Swarm and Evolutionary Computation, Vol. 51
2018
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Decision making in industry 4.0 scenarios supported by imbalanced data classification
Studies in Computational Intelligence (Springer Verlag), pp. 121-134
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Extending the speed-constrained multi-objective PSO (SMPSO) with reference point based preference articulation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Multi-objective design of time-constrained bike routes using bio-inspired meta-heuristics
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Multi-objective metaheuristics for a flexible ligand-macromolecule docking problem in computational biology
Studies in Computational Intelligence (Springer Verlag), pp. 369-379
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On the design and tuning of machine learning models for language toxicity classification in online platforms
Studies in Computational Intelligence (Springer Verlag), pp. 329-343