Dr Manuel Chica Serrano

Dr Manuel Chica Serrano

Conjoint Lecturer

School of Electrical Engineering and Computing

Career Summary

Biography

Manuel Chica, BSc, MSc in Computer Science, obtained his PhD degree cum laude from the University of Granada in 2011. He was awarded the best MSc curriculum and outstanding PhD thesis.


Currently,
he is Chief Technology Officer at ROD Brand Consultants, a Spanish SME for applying artificial intelligence and simulation for marketing purposes. He is also Conjoint Lecturer at the University of Newcastle, Australia where he carried out a post-doctoral Endeavour Research Fellowship in 2016/2017. Previously, he was a Deputy Principal Researcher at the European Centre for Soft Computing from 2012 to 2016, and R&D team leader for Inspiralia for almost 4 years, where he led a team of researchers for applying computational intelligence to real-world problems.


Manuel has made significant contributions in his research areas (e.g., metaheuristics, machine learning, complex systems, and agent-based modeling). He is a
co-inventor of an international patent under exploitation, registered in the EU and USA. He has published more than 60 peer-reviewed scientific papers. Among them, 19 papers were published in JCR-indexed journals (14 as the first author) with collaborators from 13 different countries. Nine of these journals were top-10 JCR-ranked and 14 were Q1. Manuel has a record of more than 460 citations in Google Scholar (h-index of 12). Besides, he is co-supervising two PhD students granted by the Spanish Ministry, who will present their dissertations in December 2017 and summer 2018.


He has
participated in 18 research projects. He played the role of Principal Investigator in 2 European FP7s, 3 National projects, and 4 research contracts, with a budget of more than 3 million euros. The internationalization of his profile is clear: leading 2 European research projects and being in 5 international institutions for more than 18 months: University of Newcastle, Wroclaw University of Technology between 2015 and 2016, School of Business of University of Maryland in 2014, University of Auckland in 2012, and Apple in 2007.

More information: manuchise.com




Keywords

  • agent-based modeling
  • data science
  • evolutionary computation
  • marketing
  • multiobjective optimization

Languages

  • Spanish (Mother)
  • English (Fluent)
  • French (Working)
  • Portuguese (Working)

Fields of Research

Code Description Percentage
080108 Neural, Evolutionary and Fuzzy Computation 40
080109 Pattern Recognition and Data Mining 20
080110 Simulation and Modelling 40

Professional Experience

Academic appointment

Dates Title Organisation / Department
1/06/2016 - 28/02/2017 Senior Researcher Technical University of Catalonia (UPC)
Spain
20/02/2012 - 16/05/2016 Deputy Principal Investigator European Centre for Soft Computing
Spain

Professional appointment

Dates Title Organisation / Department
3/04/2017 -  Chief Technology Officer ROD Brand Consultants
Spain
15/07/2008 - 16/01/2011 R&D Engineer Inspiralia Tecnologias Avanzadas
Spain
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (4 outputs)

Year Citation Altmetrics Link
2015 Barranquero J, Chica M, Cordón O, Damas S, 'Detecting key variables in system dynamics modelling by using social network metrics', Advances in Artificial Economics, Springer 207-217 (2015)
2014 Chica M, Cordón O, Damas S, Bautista J, 'NTIGen: a software for generating Nissan based instances for time and space assembly line balancing', Managing Complexity: challenges for Industrial Engineering and Operations Management, Springer 121-128 (2014)
2010 Chica M, Cordón O, Damas S, Bautista J, 'Adding diversity to two multiobjective constructive metaheuristics for time and space assembly line balancing', Frontiers of Assembly and Manufacturing: Selected papers from ISAM 2009 211-226 (2010)

We present a new mechanism to introduce diversity into two multiobjective approaches based on ant colony optimisation and randomised greedy algorithms to solve a more realistic ex... [more]

We present a new mechanism to introduce diversity into two multiobjective approaches based on ant colony optimisation and randomised greedy algorithms to solve a more realistic extension of a classical industrial problem: time and space assembly line balancing. Promising results are shown after applying the designed constructive metaheuristics to ten real-like problem instances. © 2010 Springer Berlin Heidelberg.

DOI 10.1007/978-3-642-14116-4_17
Citations Scopus - 1
2010 Chica M, Cordón O, Damas S, Bautista J, Pereira J, 'On using heuristic information in a multi-objective ACO algorithm for the time and space assembly line balancing problem', Applied Swarm Intelligence, Studies in Computational Intelligence Series, Springer (2010)
Show 1 more chapter

Journal article (25 outputs)

Year Citation Altmetrics Link
2017 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, 1-15 (2017)

© 2017 Springer-Verlag London Ltd. The reliability estimation of engineered components is fundamental for many optimization policies in a production process. The main goal of thi... [more]

© 2017 Springer-Verlag London Ltd. The reliability estimation of engineered components is fundamental for many optimization policies in a production process. The main goal of this paper is to study how machine learning models can fit this reliability estimation function in comparison with traditional approaches (e.g., Weibull distribution). We use a supervised machine learning approach to predict this reliability in 19 industrial components obtained from real industries. Particularly, four diverse machine learning approaches are implemented: artificial neural networks, support vector machines, random forest, and soft computing methods. We evaluate if there is one approach that outperforms the others when predicting the reliability of all the components, analyze if machine learning models improve their performance in the presence of censored data, and finally, understand the performance impact when the number of available inputs changes. Our experimental results show the high ability of machine learning to predict the component reliability and particularly, random forest, which generally obtains high accuracy and the best results for all the cases. Experimentation confirms that all the models improve their performance when considering censored data. Finally, we show how machine learning models obtain better prediction results with respect to traditional methods when increasing the size of the time-to-failure datasets.

DOI 10.1007/s00170-017-1039-x
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]
DOI 10.1016/j.knosys.2017.02.015
2017 Trawinski K, Chica M, Pancho DP, Damas S, Cordon O, 'moGrams: A Network-Based Methodology for Visualizing the Set of Nondominated Solutions in Multiobjective Optimization', IEEE Transactions on Cybernetics, (2017)

An appropriate visualization of multiobjective nondominated solutions is a valuable asset for decision making. Although there are methods for visualizing the solutions in the desi... [more]

An appropriate visualization of multiobjective nondominated solutions is a valuable asset for decision making. Although there are methods for visualizing the solutions in the design space, they do not provide any information about their relationship. In this paper, we propose a novel methodology that allows the visualization of the nondominated solutions in the design space and their relationships by means of a network. The nodes represent the solutions in the objective space while the edges show the relationships among the solutions in the design space. Our proposal (called moGrams) thus provides a joint visualization of both objective and design spaces. It aims at helping the decision maker to get more understanding of the problem so that (s)he can choose the most appropriate and flexible final solution. moGrams can be applied to any multicriteria problem in which the solutions are related by a similarity metric. Besides, the decision maker interaction is facilitated by modifying the network based on the current preferences to obtain a clearer view. An exhaustive experimental study is performed using four multiobjective problems with a variable number of objectives to show both usefulness and versatility of moGrams. The results exhibit interesting characteristics of our methodology for visualizing and analyzing solutions of multiobjective problems.

DOI 10.1109/TCYB.2016.2642886
Citations Scopus - 1
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)
Citations Scopus - 2Web of Science - 1
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)
DOI 10.1016/j.dss.2016.06.007
Citations Scopus - 2Web of Science - 2
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.

DOI 10.1016/j.omega.2015.04.003
Citations Scopus - 10
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)
2016 Chica M, Rand W, 'Building agent-based decision support systems for word-of-mouth programs. A freemium application', Journal of Marketing Research, (2016)
DOI 10.1509/jmr.15.0443
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)
DOI 10.1007/978-3-319-09578-3_17
Citations Scopus - 2
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)
DOI 10.1016/j.nima.2014.11.044
Citations Scopus - 2Web of Science - 2
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 pro... [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.

DOI 10.1007/s00500-014-1451-1
Citations Scopus - 4
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)
DOI 10.1016/j.jfoodeng.2014.03.002
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)
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)
DOI 10.1016/j.compbiomed.2013.06.006
Citations Scopus - 6Web of Science - 5
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)
Citations Scopus - 17Web of Science - 12
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)
DOI 10.1016/j.asoc.2013.06.014
Citations Scopus - 18Web of Science - 12
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)
DOI 10.1016/j.engappai.2011.05.001
Citations Scopus - 21Web of Science - 19
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)
DOI 10.1002/jemt.22091
Citations Scopus - 10Web of Science - 7
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)
DOI 10.1016/j.compbiomed.2011.12.003
Citations Scopus - 1Web of Science - 1
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)
DOI 10.1016/j.jfoodeng.2012.03.028
Citations Scopus - 7Web of Science - 7
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)
DOI 10.1016/j.cie.2011.03.001
Citations Scopus - 28Web of Science - 21
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)
DOI 10.1016/j.eswa.2010.07.023
Citations Scopus - 26Web of Science - 22
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.

DOI 10.1007/s12293-010-0035-6
Citations Scopus - 13
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)
DOI 10.1016/j.ins.2010.05.033
Citations Scopus - 42Web of Science - 34
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)
Show 22 more journal articles

Conference (17 outputs)

Year Citation Altmetrics Link
2017 Bermejo E, Chica M, Sanz SS, Cordon O, 'Coral Reef Optimization for intensity-based medical image registration', 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings (2017) [E1]
DOI 10.1109/CEC.2017.7969357
2017 Chica M, Chiong R, Adam MTP, Damas S, Teubner T, 'An evolutionary trust game for the sharing economy', 2017 IEEE Congress on Evolutionary Computation (CEC) (2017) [E1]
DOI 10.1109/CEC.2017.7969610
Co-authors Raymond Chiong, Marc Adam
2016 Juan AA, Chica M, De Armas J, Kelton WD, 'Simheuristics: A method of first resort for solving real-life combinatorial optimization problems', OR58: The OR Society Annual Conference (2016)

A large number of decision-making processes in real-life transportation, logistics and production applications can be modelled as NP-hard combinatorial optimization problems (COPs... [more]

A large number of decision-making processes in real-life transportation, logistics and production applications can be modelled as NP-hard combinatorial optimization problems (COPs). These real-life COPs are frequently characterized by their large-scale sizes and the need to obtain high-quality solutions in short computing times. This imposes some severe limitations on the use of exact methods, so alternatives such as metaheuristics are required instead. Still, metaheuristics usually assume deterministic inputs and constraints. This is a strong assumption which is not usually in accordance with modern systems, typically characterized by high levels of dynamism and uncertainty. By combining simulation techniques with metaheuristics, simheuristic algorithms are able to cope with real-life uncertainty in a natural way. Simheuristics also facilitate the introduction of variability analysis during the evaluation of alternative solutions to stochastic COPs and, in this sense, they constitute a 'method of first resort'.

2016 Francisco Robles J, Chica M, Cordon O, 'Incorporating Awareness and Genetic-based Viral Marketing Strategies to a Consumer Behavior Model', 2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2016)
2015 Chica M, Bautista J, Damas S, Cordon O, 'Adaptive IDEA for robust multiobjective optimization, application to the r-TSALBP-m/A', Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 (2015)

© 2015 IEEE. Robust optimization tries to find flexible solutions when solving problems with uncertain scenarios and vague information. In this paper we present a multiobjective ... [more]

© 2015 IEEE. Robust optimization tries to find flexible solutions when solving problems with uncertain scenarios and vague information. In this paper we present a multiobjective evolutionary algorithm (EMO) to solve robust multiobjective optimization problems. This algorithm is a novel adaptive method able to evolve separate populations of robust and non robust solutions during the search. It is based on the existing infeasibility driven evolutionary algorithm (IDEA) and uses an additional objective to evaluate the robustness of the solutions. The original and adaptive IDEAs are applied to solve the rTSALBP-m/A, an assembly line balancing model that considers a set of demand production plans and includes temporal overloads of the stations of the assembly line with respect to these plans as robustness functions. Our results show that the proposed adaptive IDEA gets more robust non-dominated solutions for the problem. Also, we show that, for the case of the r-TSALBP-m/A, we can obtain Pareto fronts with a higher convergence when including robustness information during the search of the algorithm.

DOI 10.1109/SSCI.2015.147
2012 Chica M, Cordón O, Damas S, Bautista J, 'Análisis del NSGA-II para el TSALBP-1/3 cuando existe variación de demanda en una producción mixta', VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12) (2012)
2011 Chica M, Cordon O, Damas S, Bautista J, 'A multiobjective memetic ant colony optimization algorithm for the 1/3 variant of the time and space assembly line balancing problem', IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIPLS 2011: 2011 IEEE Workshop on Computational Intelligence in Production and Logistics Systems (2011)

Time and space assembly line balancing considers realistic multiobjective versions of the classical assembly line balancing industrial problems, involving the joint optimization o... [more]

Time and space assembly line balancing considers realistic multiobjective versions of the classical assembly line balancing industrial problems, involving the joint optimization of conflicting criteria such as the cycle time, the number of stations, and/or the area of these stations. The aim of this contribution is to present a new multiobjective memetic algorithm based on ant colony optimization for the 1/3 variant of this family of industrial problems. This variant involves the joint minimisation of the number and the area of the stations, given a fixed cycle time limit. The good behaviour of the proposal is shown in nine problem instances. © 2011 IEEE.

DOI 10.1109/CIPLS.2011.5953354
Citations Scopus - 1
2011 Chica M, Cordon O, Damas S, 'Tackling the 1/3 Variant of the Time and Space Assembly Line Balancing Problem by Means of a Multiobjective Genetic Algorithm', 2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2011)
2010 Chica M, Cordón O, Damas S, Bautista J, 'A multiobjective GRASP for the 1/3 variant of the time and space assembly line balancing problem', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2010)

Time and space assembly line balancing considers realistic multiobjective versions of the classical assembly line balancing industrial problems, involving the joint optimisation o... [more]

Time and space assembly line balancing considers realistic multiobjective versions of the classical assembly line balancing industrial problems, involving the joint optimisation of conflicting criteria such as the cycle time, the number of stations, and/or the area of these stations. The aim of this contribution is to present a new algorithm, based on the GRASP methodology, for the 1/3 variant of this family of industrial problems. This variant involves the joint minimisation of the number and the area of the stations, given a fixed cycle time limit. The good behaviour of our proposal is demonstrated by means of performance indicators in four problem instances and a real one from a Nissan factory. © 2010 Springer-Verlag.

DOI 10.1007/978-3-642-13033-5_67
Citations Scopus - 8
2009 Chica M, Cordon O, Damas S, Bautista J, 'Integration of an EMO-based Preference Elicitation Scheme into a Multi-objective ACO Algorithm for Time and Space Assembly Line Balancing', MCDM: 2009 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN MULTI-CRITERIA DECISION-MAKING (2009)
Citations Scopus - 4Web of Science - 1
2009 Chica M, Cordón O, Damas S, Bautista J, 'Adding diversity to a multiobjective ant colony algorithm for time and space assembly line balancing', 2009 IEEE International Symposium on Assembly and Manufacturing, ISAM 2009 (2009)

We present a new mechanism to introduce diversity to a multiobjective algorithm based on Ant Colony Optimization to solve a more realistic extension of a classical industrial prob... [more]

We present a new mechanism to introduce diversity to a multiobjective algorithm based on Ant Colony Optimization to solve a more realistic extension of a classical industrial problem: Time and Space Assembly Line Balancing. Promising results are shown after applying the designed Multiobjective Ant Colony Optimization algorithm to ten real-like problem instances. ©2009 IEEE.

DOI 10.1109/ISAM.2009.5376943
Citations Scopus - 2
2009 Chica M, Cordón O, Damas S, Bautista J, Pereira J, 'Heurísticas constructivas multiobjetivo para el problema de equilibrado de líneas de montaje considerando tiempo y espacio', Congreso Espanol sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09) (2009)
2008 Chica M, Cordón O, Damas S, Pereira J, Bautista J, 'Incorporating preferences to a multi-objective ant colony algorithm for time and space assembly line balancing', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008)

We present an extension of a multi-objective algorithm based on Ant Colony Optimisation to solve a more realistic variant of a classical industrial problem: Time and Space Assembl... [more]

We present an extension of a multi-objective algorithm based on Ant Colony Optimisation to solve a more realistic variant of a classical industrial problem: Time and Space Assembly Line Balancing. We study the influence of incorporating some domain knowledge by guiding the search process of the algorithm with preferences-based dominance. Our approach is compared with other techniques, and every algorithm tackles a real-world instance from a Nissan plant. We prove that the embedded expert knowledge is even more justified in a real-world problem. © 2008 Springer-Verlag Berlin Heidelberg.

DOI 10.1007/978-3-540-87527-7_34
Citations Scopus - 9
2008 Chica M, Cordón O, Damas S, Bautista J, Pereira J, 'A Multiobjective Ant Colony Optimization Algorithm for the 1/3 Variant of the Time and Space Assembly Line Balancing Problem', 12th International Conference on Processing and Management of Uncertainty in Knowledge-based Systems (IPMU) (2008)
2007 Aguilera JJ, Chica M, del Jesus MJ, Herrera F, 'Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems', 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4 (2007)
Citations Scopus - 9
2007 Aguilera JJ, Chica M, Jesus MJD, Herrera F, 'Multimodal evolutionary feature selection algorithms applied to the design of fuzzy rule based classifiers', IEEE International Conference on Fuzzy Systems (FUZZ-IEEE¿07) (2007)
2007 Aguilera JJ, Chica M, Jesus MJD, Herrera F, 'Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características', V Congreso Espa\=nol sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB¿07) (2007)
Show 14 more conferences
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Research Collaborations

The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.

Country Count of Publications
Spain 37
Australia 4
Germany 3
United Kingdom 2
United States 2
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Dr Manuel Chica Serrano

Position

Conjoint Lecturer
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

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