© 2001

Evolutionary Multi-Criterion Optimization

First International Conference, EMO 2001 Zurich, Switzerland, March 7–9, 2001 Proceedings

  • Eckart Zitzler
  • Lothar Thiele
  • Kalyanmoy Deb
  • Carlos Artemio Coello Coello
  • David Corne
Conference proceedings EMO 2001

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1993)

Table of contents

  1. Constraint Handling and Problem Decomposition

    1. Kalyanmoy Deb, Amrit Pratap, T. Meyarivan
      Pages 284-298
    2. S. Ranji Ranjithan, S. Kishan Chetan, Harish K. Dakshina
      Pages 299-313
  2. Uncertainty and Noise

  3. Hybrid and Alternative Methods

    1. Steffen Iredi, Daniel Merkle, Martin Middendorf
      Pages 359-372
    2. Habib Youssef, Sadiq M. Sait, Salman A. Khan
      Pages 400-415
    3. El-Ghazali Talbi, Malek Rahoual, Mohamed Hakim Mabed, Clarisse Dhaenens
      Pages 416-428
    4. Xavier Gandibleux, Hiroyuki Morita, Naoki Katoh
      Pages 429-442
  4. Scheduling

    1. C. Brizuela, N. Sannomiya, Y. Zhao
      Pages 443-457
    2. W. Matthew Carlyle, Bosun Kim, John W. Fowler, Esma S. Gel
      Pages 472-485
  5. Applications

    1. Walid El Moudani, Carlos Alberto Nunes Cosenza, Marc de Coligny, Félix Mora-Camino
      Pages 486-500
    2. Hernán E. Aguirre, Kiyoshi Tanaka, Tatsuo Sugimura, Shinjiro Oshita
      Pages 501-515
    3. Ivo F. Sbalzarini, Sibylle Müller, Petros Koumoutsakos
      Pages 516-530

About these proceedings


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.


Approximation Evolutionary Algorithms Genetic Algorithms Multi-Criterion Optimization Multiple Criteria Decision Making Optimal Solutions Pareto-Optimal Solutions Scheduling algorithms evolution multi-objective optimization optimization uncertainty

Editors and affiliations

  • Eckart Zitzler
    • 1
  • Lothar Thiele
    • 1
  • Kalyanmoy Deb
    • 2
  • Carlos Artemio Coello Coello
    • 3
  • David Corne
    • 4
  1. 1.Department of Electrical Engineering Computer Engineering and Networks LaboratorySwiss Federal Institute of TechnologyZurichSwitzerland
  2. 2.Department of Mechanical Engineering Kanpur Genetic Algorithms LaboratoryIndian Institute of TechnologyKanpurIndia
  3. 3.Electrical Engineering Department,Computer Science Section Av.Instituto Politecnico Nacional No.2508CINVESTAV-IPNMexico CityMexico
  4. 4.Department of Computer ScienceUniversity of ReadingWhiteknightsUK

Bibliographic information