Details Details PDF BIBTEX RIS Title Interactive evolutionary multiobjective optimization driven by robust ordinal regression Journal title Bulletin of the Polish Academy of Sciences Technical Sciences Yearbook 2010 Volume 58 Issue No 3 Authors Branke, J. ; Greco, S. ; Słowiński, R. ; Zielniewicz, P. Divisions of PAS Nauki Techniczne Coverage 347-358 Date 2010 Identifier DOI: 10.2478/v10175-010-0033-3 ; ISSN 2300-1917 Source Bulletin of the Polish Academy of Sciences: Technical Sciences; 2010; 58; No 3; 347-358 References C. Coello Coello (2002), Evolutionary Algorithms for Solving Multi-Objective Problems, doi.org/10.1007/978-1-4757-5184-0 ; Deb K. (2001), Multi-Objective Optimization Using Evolutionary Algorithms. ; Miettinen K. (1999), Nonlinear Multiobjective Optimization. ; Steuer R. (1986), Multiple Criteria Optimization: Theory, Computation and Application. ; Vincke Ph. (1992), Multicriteria Decision Aid. ; Branke J. (2008), Multiobjective Optimization: Interactive and Evolutionary Approaches, doi.org/10.1007/978-3-540-88908-3 ; Greco S. (2010), Trends in Multiple Criteria Decision Analysis, 241. ; Greco S. (2008), Ordinal regression revisited: multiple criteria ranking with a set of additive value functions, Eur. J. Operational Research, 191, 2, 415, doi.org/10.1016/j.ejor.2007.08.013 ; Figueira J. (2009), Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method, Eur. J. Operational Research, 195, 2, 460. ; Deb K. (2002), A fast and elitist multi-objective genetic algorithm, NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 2, 182. ; Branke J. (2009), Evolutionary Multi-Criterion Optimization (EMO'09), 5467, 554. ; Fonseca C. (1993), Genetic algorithms for multiobjective optimization: formulation, discussion, and generalization, null, 1, 416. ; Deb K. (2006), Reference point based multi-objective optimization using evolutionary algorithms, Int. J. Computational Intelligence Research, 2, 3, 273. ; Thiele L. (2009), A preference-based interactive evolutionary algorithm for multiobjective optimization, Evolutionary Computation Journal, 17, 3, 411. ; Branke J. (2001), Guidance in evolutionary multi-objective optimization, Advances in Engineering Software, 32, 499. ; Deb K. (2010), I-MODE: an interactive multiobjective optimization and decision-making using evolutionary methods, Applied Soft Computing, 10, 496, doi.org/10.1016/j.asoc.2009.08.019 ; Jaszkiewicz A. (2008), Multiobjective Optimization - Interactive and Evolutionary Approaches, LNCS 5252, 179, doi.org/10.1007/978-3-540-88908-3_7 ; Branke J. (2008), Multiobjective Optimization - Interactive and Evolutionary Approaches, LNCS 5252, 157, doi.org/10.1007/978-3-540-88908-3_6 ; Greenwood G. (1997), Foundations of Genetic Algorithms, 437. ; Phelps S. (2003), An interactive evolutionary meta-heuristic for multiobjective combinatorial optimization, Management Science, 49, 12, 1726. ; Jaszkiewicz A. (2007), Interactive multiobjective optimization with the Pareto memetic algorithm, Foundations of Computing and Decision Sciences, 32, 1, 15. ; Roy B. (1993), Aide Multicritère à la Décision: Méthodes et Cas. ; March J. (1978), Bounded rationality, ambiguity and the engineering of choice, Bell J. Economics, 9, 587. ; Srinivasan V. (1973), Estimating the weights for multiple attributes in a composite criterion using pairwise judgments, Psychometrika, 38, 473. ; Pekelman D. (1974), Mathematical programming models for the determination of attribute weights, Management Science, 20, 1217. ; Jacquet-Lagrèze E. (1982), Assessing a set of additive utility functions for multicriteria decision making: the UTA method, Eur. J. Operational Research, 10, 151. ; Siskos Y. (2005), Multiple Criteria Decision Analysis: State-of-the-Art Surveys, 297. ; Kiss L. (1994), ELECCALC - an interactive software for modelling the decision maker's preferences, Decision Support Systems, 12, 757, doi.org/10.1016/0167-9236(94)90049-3 ; Mousseau V. (1998), Inferring an ELECTRE TRI model from assignment examples, J. Global Optimization, 12, 157. ; Greco S. (2001), Rough sets theory for multicriteria decision analysis, Eur. J. Operational Research, 129, 1, 1. ; Figueira J. (2008), Identifying the "most representative" value function among all compatible value functions in the GRIP method, null, 1. ; Zitzler E. (2000), Comparison of multiobjective evolutionary algorithms: empirical results, Evolutionary Computation Journal, 8, 2, 125, doi.org/10.1162/106365600568202