2020 |
Filgueira R, Chica M, Palacios JJ, Strohmeier T, Lavaud R, Agüera A, et al., 'Embracing multimodal optimization to enhance Dynamic Energy Budget parameterization', Ecological Modelling, 431 (2020) [C1]
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2020 |
Dhakal S, Chiong R, Chica M, Middleton RH, 'Climate change induced migration and the evolution of cooperation', Applied Mathematics and Computation, 377 (2020) [C1]
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2020 |
Robles JF, Chica M, Cordon O, 'Evolutionary multiobjective optimization to target social network influentials in viral marketing', Expert Systems with Applications, 147 (2020) [C1]
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2020 |
Hatami S, Eskandarpour M, Chica M, Juan AA, Ouelhadj D, 'Green hybrid fleets using electric vehicles: Solving the heterogeneous vehicle routing problem with multiple driving ranges and loading capacities', SORT, 44 141-170 (2020) [C1]
© 2020 Institut d'Estadistica de Catalunya. All rights reserved. The introduction of Electric Vehicles (EVs) in modern fleets facilitates green road transportation. However, ... [more]
© 2020 Institut d'Estadistica de Catalunya. All rights reserved. The introduction of Electric Vehicles (EVs) in modern fleets facilitates green road transportation. However, the driving ranges of EVs are limited by the duration of their batteries, which arise new operational challenges. Hybrid fleets of gas and EVs might be heterogeneous both in loading capacities as well as in driving-rangecapabilities, which makes the design of efficient routing plans a difficult task. In this paper, we propose a new Multi-Round Iterated Greedy (MRIG) metaheuristic to solve the Heterogeneous Vehicle Routing Problem with Multiple Driving ranges and loading capacities (HeVRPMD). MRIG uses a successive approximations method to offer the decision maker a set of alternativefleet configurations, with different distance-based costs and green levels. The numerical experiments show that MRIG is able to outperform previous works dealing with the homogeneous version of the problem, which assumes the same loading capacity for all vehicles in the fleet. The numerical experiments also confirm that the proposed MRIG approach extends previous works by solving a more realistic HeVRPMD and provides the decision-maker with fleets with higher green levels.
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2020 |
Martinez-Lopez A, Chica M, 'Joint Optimization of Routes and Container Fleets to Design Sustainable Intermodal Chains in Chile', SUSTAINABILITY, 12 (2020)
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2020 |
Zhang Z, Tang Q, Chica M, 'Multi-manned assembly line balancing with time and space constraints: A MILP model and memetic ant colony system', Computers and Industrial Engineering, 150 (2020) [C1]
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2020 |
Giráldez-Cru J, Chica M, Cordón O, Herrera F, 'Modeling agent-based consumers decision-making with 2-tuple fuzzy linguistic perceptions', International Journal of Intelligent Systems, 35 283-299 (2020) [C1]
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2019 |
Chica M, Chiong R, Adam MTP, Teubner T, 'An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy', Scientific Reports, 9 (2019) [C1]
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2019 |
Moya I, Chica M, Cordón Ó, 'A multicriteria integral framework for agent-based model calibration using evolutionary multiobjective optimization and network-based visualization', Decision Support Systems, 124 (2019) [C1]
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2019 |
Chica M, Bautista J, de Armas J, 'Benefits of robust multiobjective optimization for flexible automotive assembly line balancing', FLEXIBLE SERVICES AND MANUFACTURING JOURNAL, 31 75-103 (2019) [C1]
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2019 |
Hung KN, Chiong R, Chica M, Middleton RH, Dung TKP, 'Contract Farming in the Mekong Delta's Rice Supply Chain: Insights from an Agent-Based Modeling Study', JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 22 (2019) [C1]
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2019 |
Chica M, Chiong R, Ramasco JJ, Abbass H, 'Effects of update rules on networked N-player trust game dynamics', Communications in Nonlinear Science and Numerical Simulation, 79 (2019) [C1]
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2019 |
Moya I, Chica M, Bautista J, 'Constructive metaheuristics for solving the Car Sequencing Problem under uncertain partial demand', Computers and Industrial Engineering, 137 (2019) [C1]
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2019 |
Overgoor G, Chica M, Rand W, Weishampel A, 'Letting the computers take over: Using Ai to solve marketing problems', California Management Review, 61 156-185 (2019) [C1]
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2018 |
Trawinski K, Chica M, Pancho DP, Damas S, Cordón O, 'moGrams: a network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization', IEEE Transactions on Cybernetics (arXiv:1511.08178), 48 474-485 (2018)
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2018 |
Alsina EF, Chica M, Trawinski K, Regattieri A, 'On the use of machine learning methods to predict component reliability from data-driven industrial case studies', INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 94 2419-2433 (2018) [C1]
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2018 |
Chica M, Chiong R, Kirley M, Ishibuchi H, 'A Networked N-Player Trust Game and Its Evolutionary Dynamics', IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 22 866-878 (2018) [C1]
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2018 |
Bermejo E, Chica M, Damas S, Salcedo-Sanz S, Cordón O, 'Coral Reef Optimization with substrate layers for medical Image Registration', Swarm and Evolutionary Computation, 42 138-159 (2018) [C1]
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2017 |
Chica M, Rand W, 'Building agent-based decision support systems for word-of-mouth programs. A freemium application', Journal of Marketing Research, 54 752-767 (2017)
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2017 |
Moya I, Chica M, Saez-Lozano JL, Cordon O, 'An agent-based model for understanding the influence of the 11-M terrorist attacks on the 2004 Spanish elections', KNOWLEDGE-BASED SYSTEMS, 123 200-216 (2017) [C1]
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2017 |
Chica M, Barranquero J, Kajdanowicz T, Cordón O, Damas S, 'Multimodal optimization: an effective framework for model calibration', Information Sciences, 375 79-97 (2017)
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2016 |
Chica M, Cordon O, Damas S, Iglesias V, Mingot J, 'Identimod: Modeling and managing brand value using soft computing', DECISION SUPPORT SYSTEMS, 89 41-55 (2016)
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2016 |
Chica M, Bautista J, Cordón Ó, Damas S, 'A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand', Omega (United Kingdom), 58 55-68 (2016)
© 2015 Elsevier Ltd. Changes in demand when manufacturing different products require an optimization model that includes robustness in its definition and methods to deal with it. ... [more]
© 2015 Elsevier Ltd. Changes in demand when manufacturing different products require an optimization model that includes robustness in its definition and methods to deal with it. In this work we propose the r-TSALBP, a multiobjective model for assembly line balancing to search for the most robust line configurations when demand changes. The robust model definition considers a set of demand scenarios and presents temporal and spatial overloads of the stations in the assembly line of the products to be assembled. We present two multiobjective evolutionary algorithms to deal with one of the r-TSALBP variants. The first algorithm uses an additional objective to evaluate the robustness of the solutions. The second algorithm employs a novel adaptive method to evolve separate populations of robust and non-robust solutions during the search. Results show the improvements of using robustness information during the search and the outstanding behavior of the adaptive evolutionary algorithm for solving the problem. Finally, we analyze the managerial impacts of considering the r-TSALBP model for the different organization departments by exploiting the values of the robustness metrics.
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2016 |
Suárez Vázquez A, Chica M, 'When Shared Joy is Lessened: Comparing Psychological Costs Between Online and Offline Positive Word of Mouth', ACR North American Advances, (2016) |
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2015 |
Barranquero J, Chica M, Cordón O, Damas S, 'Detecting key variables in system dynamics modelling by using social network metrics', Lecture Notes in Economics and Mathematical Systems, 676 207-217 (2015)
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2015 |
Peyaud A, Angelopoulos A, Chelmis C, Costopoulos V, Chica M, Giomataris I, et al., 'The ForFire photodetector', NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 787 102-104 (2015)
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2015 |
Chica M, Cordón Ó, Damas S, Bautista J, 'Interactive preferences in multiobjective ant colony optimisation for assembly line balancing', Soft Computing, 19 2891-2903 (2015)
© 2014, Springer-Verlag Berlin Heidelberg. In this contribution, we propose an interactive multicriteria optimisation framework for the time and space assembly line balancing prob... [more]
© 2014, Springer-Verlag Berlin Heidelberg. In this contribution, we propose an interactive multicriteria optimisation framework for the time and space assembly line balancing problem. The framework allows decision maker interaction by means of reference points to obtain the most interesting non-dominated solutions. The principal components of the framework are the g-dominance preference scheme and a state-of-the-art memetic multiobjective ant colony optimisation approach. In addition, the framework includes a novel adaptive multi-colony mechanism to be able to handle the preferences in an interactive way. Results show how the multiobjective framework can interactively obtain the most useful solutions with higher convergence than previous a priori methods. The experimentation also makes use of original data of the Nissan Pathfinder engine and practical bounds to define industrially feasible solutions in a set of scenarios. By solving the problem in these scenarios, we show the search guidance advantages of using an interactive multiobjective ant colony optimisation method.
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2014 |
Chica M, Campoy P, 'Discernment of bee pollen loads using computer vision and one-class classification techniques (vol 112, pg 50, 2012)', JOURNAL OF FOOD ENGINEERING, 138 53-53 (2014)
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2014 |
Chica M, Cordón O, Damas S, Bautista J, 'Interactive Preferences in Multiobjective Ant Colony Optimization for Assembly Line Balancing', Soft Computing, xx xx-xx (2014) |
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2013 |
Chica M, Campoy P, Ana Perez M, Rodriguez T, Rodriguez R, Valdemoros O, 'Real-time recognition of patient intentions from sequences of pressure maps using artificial neural networks (vol 42, pg 364, 2012)', COMPUTERS IN BIOLOGY AND MEDICINE, 43 1302-1302 (2013)
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2013 |
Chica M, Cordon O, Damas S, Bautista J, 'A robustness information and visualization model for time and space assembly line balancing under uncertain demand', INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 145 761-772 (2013)
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2013 |
Rada-Vilela J, Chica M, Cordon O, Damas S, 'A comparative study of Multi-Objective Ant Colony Optimization algorithms for the Time and Space Assembly Line Balancing Problem', APPLIED SOFT COMPUTING, 13 4370-4382 (2013)
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2012 |
Chica M, Cordon O, Damas S, Bautista J, 'Multiobjective memetic algorithms for time and space assembly line balancing', ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 25 254-273 (2012)
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2012 |
Chica M, 'Authentication of bee pollen grains in bright-field microscopy by combining one-class classification techniques and image processing', MICROSCOPY RESEARCH AND TECHNIQUE, 75 1475-1485 (2012)
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2012 |
Chica M, Campoy P, Ana Perez M, Rodriguez T, Rodriguez R, Valdemoros O, 'Real-time recognition of patient intentions from sequences of pressure maps using artificial neural networks', COMPUTERS IN BIOLOGY AND MEDICINE, 42 364-375 (2012)
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2012 |
Chica M, Campoy P, 'Discernment of bee pollen loads using computer vision and one-class classification techniques', JOURNAL OF FOOD ENGINEERING, 112 50-59 (2012)
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2011 |
Chica M, Cordon O, Damas S, 'An advanced multiobjective genetic algorithm design for the time and space assembly line balancing problem', COMPUTERS & INDUSTRIAL ENGINEERING, 61 103-117 (2011)
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2011 |
Chica M, Cordon O, Damas S, Bautista J, 'Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios', EXPERT SYSTEMS WITH APPLICATIONS, 38 709-720 (2011)
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2011 |
Chica M, Cordón O, Damas S, Bautista J, 'A new diversity induction mechanism for a multi-objective ant colony algorithm to solve a real-world time and space assembly line balancing problem', Memetic Computing, 3 15-24 (2011)
Time and space assembly line balancing considers realistic multi-objective versions of the classical assembly line balancing industrial problems. It involves the joint optimisatio... [more]
Time and space assembly line balancing considers realistic multi-objective versions of the classical assembly line balancing industrial problems. It involves the joint optimisation of conflicting criteria such as the cycle time, the number of stations, and/or the area of these stations. The different problems included in this area also inherit the precedence constraints and the cycle time limitations from assembly line balancing problems. The presence of these hard constraints and their multi-criteria nature make these problems very hard to solve. Multi-objective constructive metaheuristics (in particular, multi-objective ant colony optimisation) have demonstrated to be suitable approaches to solve time and space assembly line balancing problems. The aim of this contribution is to present a new mechanism to induce diversity in an existing multi-objective ant colony optimisation algorithm for the 1/3 variant of the time and space assembly line balancing problem. This variant is quite realistic in the automative industry as it involves the joint minimisation of the number and the area of the stations given a fixed cycle time limit. The performance of our proposal is validated considering ten real-like problem instances. Moreover, the diversity induction mechanism is also tested on a real-world instance from the Nissan plant in Barcelona (Spain). © 2010 Springer-Verlag.
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2010 |
Chica M, Cordon O, Damas S, Bautista J, 'Multiobjective constructive heuristics for the 1/3 variant of the time and space assembly line balancing problem: ACO and random greedy search', INFORMATION SCIENCES, 180 3465-3487 (2010)
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2010 |
Chica M, Cordón O, Damas S, Bautista J, 'Multiobjective, constructive heuristics for the 1/3 variant of the time and space assembly line balancing problem: ACO and random greedy search', Information Sciences, 180 3465-3487 (2010) |
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