LEADER 05710nam 22007935 450 001 996465645403316 005 20230222015909.0 010 $a3-540-88908-6 024 7 $a10.1007/978-3-540-88908-3 035 $a(CKB)1000000000490821 035 $a(SSID)ssj0000319086 035 $a(PQKBManifestationID)11241219 035 $a(PQKBTitleCode)TC0000319086 035 $a(PQKBWorkID)10336593 035 $a(PQKB)10289511 035 $a(DE-He213)978-3-540-88908-3 035 $a(MiAaPQ)EBC3063545 035 $a(MiAaPQ)EBC6351831 035 $a(PPN)130186007 035 $a(EXLCZ)991000000000490821 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMultiobjective Optimization$b[electronic resource] $eInteractive and Evolutionary Approaches /$fedited by Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Slowi?ski 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (XX, 470 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5252 300 $a"This [volume] originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006 ..."--Cover p. [4]. 311 $a3-540-88907-8 320 $aIncludes bibliographical references and index. 327 $aBasics on Multiobjective Optimization -- to Multiobjective Optimization: Noninteractive Approaches -- to Multiobjective Optimization: Interactive Approaches -- to Evolutionary Multiobjective Optimization -- Recent Interactive and Preference-Based Approaches -- Interactive Multiobjective Optimization Using a Set of Additive Value Functions -- Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization -- Consideration of Partial User Preferences in Evolutionary Multiobjective Optimization -- Interactive Multiobjective Evolutionary Algorithms -- Visualization of Solutions -- Visualization in the Multiple Objective Decision-Making Framework -- Visualizing the Pareto Frontier -- Modelling, Implementation and Applications -- Meta-Modeling in Multiobjective Optimization -- Real-World Applications of Multiobjective Optimization -- Multiobjective Optimization Software -- Parallel Approaches for Multiobjective Optimization -- Quality Assessment, Learning, and Future Challenges -- Quality Assessment of Pareto Set Approximations -- Interactive Multiobjective Optimization from a Learning Perspective -- Future Challenges. 330 $aMultiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5252 606 $aComputer programming 606 $aComputer science 606 $aAlgorithms 606 $aNumerical analysis 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aAlgorithms 606 $aNumerical Analysis 606 $aDiscrete Mathematics in Computer Science 615 0$aComputer programming. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aNumerical analysis. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 14$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aNumerical Analysis. 615 24$aDiscrete Mathematics in Computer Science. 676 $a658.403 702 $aBranke$b Ju?rgen$f1969- 712 12$aInternational Seminar on Practical Approaches to Multiobjective Optimization$f(2006 :$eDagstuhl, Wadern, Germany) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465645403316 996 $aMultiobjective Optimization$9774089 997 $aUNISA