Evolutionary Multi-Criterion Optimization

First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings (Lecture Notes in Computer Science)

1 edition

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Last edited by ImportBot
October 15, 2023 | History

Evolutionary Multi-Criterion Optimization

First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings (Lecture Notes in Computer Science)

1 edition

Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001 Zurich, Switzerland, March 7–9, 2001 Proceedings
Author: Eckart Zitzler, Lothar Thiele, Kalyanmoy Deb, Carlos Artemio Coello Coello, David Corne
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-41745-3
DOI: 10.1007/3-540-44719-9

Table of Contents:

  • Some Methods for Nonlinear Multi-objective Optimization
  • A Short Tutorial on Evolutionary Multiobjective Optimization
  • An Overview in Graphs of Multiple Objective Programming
  • Poor-Definition, Uncertainty, and Human Factors - Satisfying Multiple Objectives in Real-World Decision-Making Environments
  • Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence
  • Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
  • Adapting Weighted Aggregation for Multiobjective Evolution Strategies
  • Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons
  • A Micro-Genetic Algorithm for Multiobjective Optimization
  • Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions
  • Multi-objective Optimisation Based on Relation Favour
  • Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
  • On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization
  • Global Multiobjective Optimization with Evolutionary Algorithms: Selection Mechanisms and Mutation Control
  • Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function
  • A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II
  • Performance of Multiple Objective Evolutionary Algorithms on a Distribution System Design Problem - Computational Experiment
  • An Infeasibility Objective for Use in Constrained Pareto Optimization
  • Reducing Local Optima in Single-Objective Problems by Multi-objectivization
  • Constrained Test Problems for Multi-objective Evolutionary Optimization

Publish Date
Publisher
Springer
Language
English
Pages
712

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Previews available in: English

Book Details


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."

Classifications

Library of Congress
T57.95 .I57 2001, QA1-939

The Physical Object

Format
Paperback
Number of pages
712
Dimensions
9.2 x 5.9 x 1.1 inches
Weight
1.7 pounds

ID Numbers

Open Library
OL9057216M
Internet Archive
springer_10.1007-3-540-44719-9
ISBN 10
3540417451
ISBN 13
9783540417453
LCCN
2001020465
OCLC/WorldCat
46240282
Goodreads
3069478

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October 15, 2023 Edited by ImportBot import existing book
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