International Journal of Computational Intelligence Research

IJCIR is a peer reviewed international journal with a key objective to provide the academic and industrial community medium for presenting original cutting edge research related to computational intelligence and its applications.

International Journal of Computational Intelligence Research

Table of contents

Handling of Overlapping Objective Vectors in Evolutionary Multiobjective Optimization
Hisao Ishibuchi, Kaname Narukawa and Yusuke Nojima

Reducing Spatial Sampling in Long-Term Groundwater Monitoring Networks Using Ant Colony Optimization
Yuanhai Li and Amy B. Chan Hilton

Approximation Capabilities of Hierarchical Neural-Fuzzy Systems for Function Approximation on Discrete Spaces
Xiao-Jun Zeng, John Yannis Goulermas, John A Keane and Panos Liatsis

MARLBS: Team Cooperation through Bidding Ron
Sun and Dehu Qi

Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions
Francisco Herrera

Aiding Classification of Gene Expression Data with Feature Selection: A Comparative Study
Changjing Shang and Qiang Shen

Analysis of a Non-Generational Mutationless Evolutionary Algorithm for Separable Fitness Functions
Gunter Rudolph

Learning Best Concept Approximations from Examples
Mihai Boicu and Gheorghe Tecuci

Published: 29 Mar 2006

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