International Journal of Computational Intelligence Research (IJCIR)
IJCIR, Volume 2, Issue 3
Special Issue: Evolutionary Multiobjective Optimization
Guest Editors: Marco Laumanns1,
Sanaz Mostaghim2, Günter Rudolph3 and Jürgen Teich Teich4
1Institute for Operations Research, ETH Zurich,
8092 Zurich, Switzerland
2Institute for Applied Computer Science and Formal Description
Methods, University of Karlsruhe,
76128 Karlsruhe, Germany
3Department of Computer Science, Chair of Algorithm Engineering,
University of Dortmund,
44227 Dortmund, Germany
4Department of Computer Science 12, University of Erlangen-Nuremberg,
91058 Erlangen, Germany
Special Issue Papers
Feature Subset
Selection in Unsupervised Learning via Multiobjective Optimization
Julia Handl and Joshua Knowles
pp. 217-238
Improving Automatic Design Space Exploration by Integrating Symbolic
Techniques into Multi-Objective Evolutionary Algorithms
Christian Haubelt, Thomas Schlichter, and Jürgen
Teich
pp. 239-254
Handling Uncertainty in Indicator-Based Multiobjective Optimization
Matthieu Basseur and Eckart Zitzler
pp. 255-272
Reference Point Based Multi-Objective Optimization Using Evolutionary
Algorithms
Kalyanmoy Deb, J. Sundar, Udaya Bhaskara Rao N. and Shamik
Chaudhuri
pp. 273-286
Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art
Margarita Reyes-Sierra and Carlos A. Coello Coello
pp. 287-308
© 2006 , Research India Publications, India