Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5252)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
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About this book
Multiobjective 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.
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Keywords
- GUI design
- algorithms
- combinatorial optimization
- constraint satisfaction problems
- decision maps
- evolutionary algorithm
- evolutionary algorithms
- evolutionary computation
- fuzzy rule
- genetic algorithms
- heuristics
- hybrid methods
- information retrieval
- interactive methods
- knapsack pr
- algorithm analysis and problem complexity
Table of contents (16 chapters)
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Recent Interactive and Preference-Based Approaches
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Visualization of Solutions
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Quality Assessment, Learning, and Future Challenges
Editors and Affiliations
Bibliographic Information
Book Title: Multiobjective Optimization
Book Subtitle: Interactive and Evolutionary Approaches
Editors: Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Słowiński
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-88908-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-88907-6Published: 15 October 2008
eBook ISBN: 978-3-540-88908-3Published: 18 October 2008
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 470
Topics: Programming Techniques, Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Numeric Computing, Discrete Mathematics in Computer Science