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

Guest Editorial

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 J
ürgen 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


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