Browsing by Author "Chica Serrano, Manuel"
Now showing items 1-17 of 17
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Adaptive IDEA for robust multiobjective optimization, application to the r-TSALBP-m/A
(Institute of Electrical and Electronics Engineers (IEEE), 2016-01-11)
Part of book or chapter of book
Restricted access - publisher's policy -
Adaptive IDEA for robust multiobjective optimization. Application to the r-TSALBP-m/A
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Open AccessRobust optimization tries to find flexible solutions when solving problems with uncertain scenarios and vague information. In this paper we present a multiobjective evolutionary algorithm to solve robust multiobjective ... -
A multiobjective genetic algorithm and robustness information function for time and space assembly line balancing
(2013)
Conference report
Open AccessThe time and space assembly line balancing problem (TSALBP) is a realistic multiobjective version of assembly line balancing industrial problems involving the joint optimization of conflicting criteria such as the cycle ... -
A multiobjective memetic ant colony optimization algorithm for the 1/3 variant of the time and space assembly line balancing problem
(IEEE Computer Society Conference Publishing Services (CPS), 2011-04-11)
Part of book or chapter of book
Restricted access - publisher's policyWe present some results attained with two variants of the bounded dynamic programming algorithm to solve the Fm|block|Cmax problem using as experimental data the wellknown Taillard instances. We have improved the best-known ... -
A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand
(2015-04-20)
External research report
Open AccessChanges 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 ... -
A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand
(2016-01)
Article
Open AccessChanges 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 ... -
Appendices for “Benefits of robust multiobjective optimization for flexible automotive assembly line balancing”
(2018-03-06)
External research report
Open Access -
A refined GRASP algorithm for the extended car sequencing problem
(2015)
Conference report
Open AccessIn this study, we investigate the performance of GRASP (Greedy Randomized Adaptive Search Procedure) mataheuristic that has been used for solving extended optimization version of CSP (Car Sequencing Problem) with respect ... -
A robustness information and visualization model for time and space assembly line balancing under uncertain demand
(2013-10-01)
Article
Restricted access - publisher's policyThe time and space assembly line balancing problem (TSALBP) is a realistic multiobjective version of assembly line balancing industrial problems involving the joint optimization of conflicting criteria such as the cycle ... -
Benefits of robust multiobjective optimization for flexible automotive assembly line balancing
(2018-03-06)
Article
Restricted access - publisher's policyChanging conditions and variations in the demand are frequent in real industrial environments. Decision makers have to take into account this uncertainty and manage it properly. One clear example is the automotive industry ... -
Car Sequencing Problem con flotas de vehículos especiales. Presentación
(2016-10-10)
External research report
Open AccessPartiendo del Car Sequencing Problem (CSP), introducimos el concepto demanda parcial incierta a través de la incorporación de Flotas de vehículos especiales en un plan de demanda. Tras resaltar las peculiaridades de una ... -
Equilibrado robusto de una línea de motores mixtos con atributos temporales, espaciales y ergonómicos
(PUBL. UNIVERSIDAD DE GRANADA, 2018)
Conference report
Restricted access - publisher's policyPartiendo de los modelos TSALBP- ergo ( Time and Space Assembly Line Balancing Problem with Ergonomic Risk ), proponemos 9 métricas para medir la robustez de un equilibrado de línea según sus atributos temporales, espaciales ... -
Integration of an EMO-based preference elicitation scheme into a multi-objective ACO algorithm for time and Space Assembly Line Balancing
(Institute of Electrical and Electronics Engineers (IEEE), 2009-05-15)
Part of book or chapter of book
Restricted access - publisher's policyIn this paper, we consider the incorporation of user preferences based on Nissan automotive company’s domain knowledge into a multi-objective search process for assembly line balancing. We focus on the Time and Space ... -
Interactive preferences in multiobjective ant colony optimisation for assembly line balancing
(2014-09-10)
Article
Open AccessIn 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 ... -
Metaheurísticas constructivas para Car Sequencing Problem con flotas de vehículos especiales
(PUBL. UNIVERSIDAD DE GRANADA, 2018)
Conference report
Restricted access - publisher's policy -
Métricas sobre la robustez de soluciones en el problema TSALB ante la variación del mix de producción
(2015-05-24)
External research report
Open AccessPartiendo de la familia de modelos TSALBP (Time and Space Assembly Line Balancing Problem), proponemos diversas funciones para medir la robustez de un equilibrado de línea atendiendo a sus atributos temporales y espaciales. ... -
NTIGen: a software for generating Nissan based instances for time and space assembly line balancing
(2013)
Conference report
Open AccessThe time and space assembly line balancing problem (TSALBP) is a re- alistic multiobjective version of assembly line balancing industrial problems in- volving the joint optimization of conflicting criteria ...
