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Antonio D. Masegosa
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2020 – today
- 2024
- [j27]Erick Rodríguez-Esparza
, Oscar Ramos-Soto
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation. IEEE Access 12: 29503-29524 (2024) - [j26]Erick Rodríguez-Esparza
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem. Expert Syst. Appl. 252: 124197 (2024) - [c25]Jon Díaz
A Graph Data Model Creation Methodology for Accident Hotspot Prediction in Urban Areas. HAIS (2) 2024: 39-49 - 2023
- [c24]Arka Ghosh, Juan S. Angarita-Zapata, Antonio D. Masegosa, Ander Arriandiaga Laresgoiti:
A Taxonomy of Signal Vehicle Coupled Control from a Mathematical Programming Perspective. ITSC 2023: 5597-5602 - [c23]Erick Rodríguez-Esparza, Emmanouil Kampitakis, Antonio D. Masegosa, Enrique Onieva, Eleni I. Vlahogianni:
A two-phase metaheuristic approach for the parcel locker location problem: First select then merge. MT-ITS 2023: 1-6 - [i3]Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting. CoRR abs/2303.10732 (2023) - 2022
- [j25]Arka Ghosh, Swagatam Das
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution. Swarm Evol. Comput. 71: 101057 (2022) - [i2]Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva:
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem. CoRR abs/2206.03185 (2022) - 2021
- [j24]Cynthia Porras
Partial Evaluation and Efficient Discarding for the Maximal Covering Location Problem. IEEE Access 9: 20542-20556 (2021) - [j23]Juan S. Angarita-Zapata
A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective. Sensors 21(20): 6910 (2021) - 2020
- [j22]Eneko Osaba
Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial]. IEEE Intell. Transp. Syst. Mag. 12(4): 6-9 (2020) - [c22]Juan S. Angarita-Zapata
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting. IPMU (2) 2020: 728-744
2010 – 2019
- 2019
- [j21]Juan S. Angarita-Zapata
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7: 68185-68205 (2019) - [j20]Pedro López-García
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics. Appl. Intell. 49(8): 2807-2822 (2019) - [c21]Antonio D. Masegosa, Eneko Osaba
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. GECCO (Companion) 2019: 1312-1320 - 2018
- [j19]Eneko Osaba
Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems. Neurocomputing 271: 2-8 (2018) - [c20]Pedro López-García
Ensemble and Fuzzy Techniques Applied to Imbalanced Traffic Congestion Datasets: A Comparative Study. BIOMA 2018: 185-196 - [c19]Juan S. Angarita-Zapata
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting. IDC 2018: 204-214 - [c18]Asier Moreno, Pilar Elejoste, Antonio D. Masegosa
A Software Tool for the Optimization of Airport Services by the Simulation and Modelling of Travelers' Behavior. UCAmI 2018: 1211 - 2017
- [j18]Pablo García Bringas
Special issue SOCO14-JAL. J. Appl. Log. 24: 1-3 (2017) - [j17]Jenny Fajardo Calderín, Antonio D. Masegosa
An algorithm portfolio for the dynamic maximal covering location problem. Memetic Comput. 9(2): 141-151 (2017) - [j16]Eneko Osaba
A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Comput. 21(18): 5295-5308 (2017) - [c17]Antonio D. Masegosa
Applications of Soft Computing in Intelligent Transportation Systems. Soft Computing Based Optimization and Decision Models 2017: 63-81 - 2016
- [j15]Pedro López-García
GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization. Expert Syst. Appl. 55: 508-519 (2016) - [j14]Virgilio C. Guzmán, Antonio D. Masegosa
Fuzzy Models and Resolution Methods for Covering Location Problems: an Annotated Bibliography. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(4): 561-592 (2016) - [j13]Pedro López-García
A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy. IEEE Trans. Intell. Transp. Syst. 17(2): 557-569 (2016) - [c16]Pedro López-García
Short-Term Traffic Congestion Forecasting Using Hybrid Metaheuristics and Rule-Based Methods: A Comparative Study. CAEPIA 2016: 290-299 - [c15]Jenny Fajardo Calderín, Antonio D. Masegosa
Dynamic optimization with restricted and unrestricted moves between changes: A study on the dynamic maximal covering location problem. CEC 2016: 570-577 - [c14]Luis Enrique Díez
Enhancing improved heuristic drift elimination for step-and-heading based pedestrian dead-reckoning systems. EMBC 2016: 4415-4418 - [c13]Eneko Osaba
TIMON Project: Description and Preliminary Tests for Traffic Prediction Using Evolutionary Techniques. GECCO (Companion) 2016: 1471-1472 - [c12]Luis Enrique Díez
Enhancing Improved Heuristic Drift Elimination for Wrist-Worn PDR Systems in Buildings. VTC Fall 2016: 1-5 - [i1]Eneko Osaba, Xin-She Yang, Fernando Díaz, Enrique Onieva, Antonio D. Masegosa, Asier Perallos:
A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy. CoRR abs/1604.04146 (2016) - 2015
- [j12]Jenny Fajardo Calderín, Antonio D. Masegosa
Algorithm portfolio based scheme for dynamic optimization problems. Int. J. Comput. Intell. Syst. 8(4): 667-689 (2015) - [j11]Antonio D. Masegosa, Enrique Onieva, Pedro López-García
An adaptive local search with prioritized tracking for Dynamic Environments. Int. J. Comput. Intell. Syst. 8(6): 1053-1075 (2015) - [j10]Asier Moreno
A Novel Software Architecture for the Provision of Context-Aware Semantic Transport Information. Sensors 15(6): 12299-12322 (2015) - [c11]Antonio D. Masegosa, Alfonso Bahillo, Enrique Onieva, Pedro López-García, Asier Perallos:
A new optimization approach for indoor location based on Differential Evolution. IFSA-EUSFLAT 2015 - [c10]Pedro López-García
Hybridizing Genetic Algorithm with Cross Entropy for Solving Continuous Functions. GECCO (Companion) 2015: 763-764 - 2014
- [j9]Antonio D. Masegosa
The role of cardinality and neighborhood sampling strategy in agent-based cooperative strategies for Dynamic Optimization Problems. Appl. Soft Comput. 14: 577-593 (2014) - [j8]Pablo J. Villacorta, Antonio D. Masegosa
A new fuzzy linguistic approach to qualitative Cross Impact Analysis. Appl. Soft Comput. 24: 19-30 (2014) - [j7]Fernando E. B. Otero, Antonio D. Masegosa
Thematic issue on advances in nature inspired cooperative strategies for optimization. Memetic Comput. 6(3): 147-148 (2014) - 2013
- [j6]Antonio D. Masegosa
A centralised cooperative strategy for continuous optimisation: The influence of cooperation in performance and behaviour. Inf. Sci. 219: 73-92 (2013) - [c9]Pablo J. Villacorta, Antonio D. Masegosa
Fuzzy linguistic multicriteria morphological analysis in scenario planning. IFSA/NAFIPS 2013: 777-782 - [c8]Jenny Fajardo Calderín, Antonio D. Masegosa
Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Memetic Algorithm. NICSO 2013: 85-97 - [e1]Germán Terrazas, Fernando E. B. Otero, Antonio D. Masegosa:
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) - Learning, Optimization and Interdisciplinary Applications, Canterbury, UK, September 2-4, 2013. Studies in Computational Intelligence 512, Springer 2013, ISBN 978-3-319-01691-7 [contents] - 2012
- [j5]Ignacio García del Amo, David A. Pelta
An algorithm comparison for dynamic optimization problems. Appl. Soft Comput. 12(10): 3176-3192 (2012) - [c7]Pablo J. Villacorta, Antonio D. Masegosa
A Linguistic Approach to Structural Analysis in Prospective Studies. IPMU (1) 2012: 150-159 - 2011
- [j4]Juan Ramón González, Antonio D. Masegosa
A cooperative strategy for solving dynamic optimization problems. Memetic Comput. 3(1): 3-14 (2011) - [j3]Antonio D. Masegosa
Solving multiple instances at once: the role of search and adaptation. Soft Comput. 15(2): 233-250 (2011) - [c6]Pablo J. Villacorta, Antonio D. Masegosa
Sensitivity analysis in the scenario method: A multi-objective approach. ISDA 2011: 867-872 - [c5]Antonio D. Masegosa
A cooperative strategy for parameter estimation problems in Systems Biology: Preliminary results. ISDA 2011: 1207-1212 - 2010
- [j2]Ignacio José García del Amo, David A. Pelta
A software modeling approach for the design and analysis of cooperative optimization systems. Softw. Pract. Exp. 40(9): 811-823 (2010) - [c4]Juan Ramón González, Antonio D. Masegosa
Cooperation rules in a trajectory-based centralised cooperative strategy for Dynamic Optimisation Problems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Antonio D. Masegosa
Using Knowledge Discovery in Cooperative Strategies: Two Case Studies. NICSO 2010: 25-38
2000 – 2009
- 2009
- [j1]Juan Ramón González, David A. Pelta
A framework for developing optimization-based decision support systems. Expert Syst. Appl. 36(3): 4581-4588 (2009) - [c2]Antonio D. Masegosa
Cooperative Strategies and Reactive Search: A Hybrid Model Proposal. LION 2009: 206-220 - 2008
- [c1]Antonio D. Masegosa
On the Performance of Homogeneous and Heterogeneous Cooperative Search Strategies. NICSO 2008: 287-300 - 2007
- [p1]Antonio D. Masegosa
An Adaptive Metaheuristic for the Simultaneous Resolution of a Set of Instances. NICSO 2007: 125-137
Coauthor Index
aka: David Alejandro Pelta
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