This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
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The reference in evolutionary multi-objective optimization,
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This review is from: Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings (Lecture Notes in Computer Science) (Paperback)
Evolutionary multi-objective optimization is becoming more and more used these days, and most breakthroughs in this subject can be found in these proceedings (proceedings of EMO'03 are even better than EMO'01, the program committee did a wonderful job). These are not the standard technical proceedings whose intended audience are specialists in the field, anyone with a basic knowledge of evolutionary computation can understand these papers. The proceedings begin with short tutorials explaining what EMO is and after that about the first half deals with more theoretical aspects while the second part with applications.Reading these proceedings like a book is feasible (you may skip some papers you're not interested in) and most of the papers are very well written, so if you're interested in recent advances in EMO, reading these proceedings is almost required. The book by Kalyanmoy Deb (Multi-objective optimization using evolutionary algorithms) is nice but does not provide enough treatment from an applications perspective, but it constitutes a nice textbook to enter the subject of EMO anyway. Both EMO2001 and 2003 proceedings are "must-read" in evolutionary multi-objective optimization !
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Inside This Book
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First Sentence:
Multiple criteria decision making (MCDM) problems form an extensive field where the best possible compromise should be found by evaluating several conflicting objectives. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
ideal objective vector, elitism pressure, fuzzy boundary local perturbation, controlled elitism, rule extraction problem, total tardiness problem, rule selection method, halftoning problem, infeasibility objective, antecedent linguistic values, median attainment surfaces, supersonic drag coefficients, niche formation technique, tabu mutation, nondominated criterion vectors, multiple objective genetic local search, multiple objective metaheuristics, average network delay, noninferior set, linguistic rule extraction, new baseline algorithm, multiobjective evolutionary algorithms, nondominated front, multiobjective algorithms, preselection scheme Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, Parallel Problem Solving, Computer Science, John Wiley, Coello Coello, Fuzzy Systems, Kalyanmoy Deb, New York, Morgan Kaufmann, Service Center, European Journal of Operational Research, New Jersey, San Mateo, Operations Research, University of Illinois, Air Force Institute of Technology, Springer Verlag, World Congress, Eckart Zitzler, Oxford University Press, Kluwer Academic Publishers, Swiss Federal Institute of Technology, Building Block Filtering, David Schaffer, Jeffrey Horn New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Multiple criteria decision making (MCDM) problems form an extensive field where the best possible compromise should be found by evaluating several conflicting objectives. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
ideal objective vector, elitism pressure, fuzzy boundary local perturbation, controlled elitism, rule extraction problem, total tardiness problem, rule selection method, halftoning problem, infeasibility objective, antecedent linguistic values, median attainment surfaces, supersonic drag coefficients, niche formation technique, tabu mutation, nondominated criterion vectors, multiple objective genetic local search, multiple objective metaheuristics, average network delay, noninferior set, linguistic rule extraction, new baseline algorithm, multiobjective evolutionary algorithms, nondominated front, multiobjective algorithms, preselection scheme Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, Parallel Problem Solving, Computer Science, John Wiley, Coello Coello, Fuzzy Systems, Kalyanmoy Deb, New York, Morgan Kaufmann, Service Center, European Journal of Operational Research, New Jersey, San Mateo, Operations Research, University of Illinois, Air Force Institute of Technology, Springer Verlag, World Congress, Eckart Zitzler, Oxford University Press, Kluwer Academic Publishers, Swiss Federal Institute of Technology, Building Block Filtering, David Schaffer, Jeffrey Horn New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 84
books:
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- Evolutionary Computation by A.E. Eiben on 6 pages
- Genetic Algorithms in Search, Optimization, and Machine Learning by David E. Goldberg on 6 pages
- Multiple Criteria Optimization: Theory, Computation, and Application (Wiley Series in Probability and Statistics) by Ralph E. Steuer on 4 pages
- Genetic Algorithms in Engineering Systems (Control Series) by A. M. S. Zalzala on 4 pages
- Nonlinear Multiobjective Optimization (International Series in Operations Research & Management Science) by Kaisa Miettinen on page 20, page 38, and page 573
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