International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 3, Issue 6 - SI, December 2010

Special Issue on Intelligence Computation and Evolutionary Computation

Xinchao Zhao, Zaijin Zou, Shuliang Zhao, Guoshuai Zhao, Shaozhang Niu, Guoli Liu
Pages: 1 - 17
A new clonal selection immune algorithm with perturbation guiding search and non-uniform hypermutation (nCSIA) is proposed based on the idea of perturbed particle swarm algorithm and non-uniform mutation. The proposed algorithm proportional clones antibody based on the affinity, adaptively adjusts the...
Wenbin Wang, Qibo Sun, Xinchao Zhao, Fangchun Yang
Pages: 18 - 30
QoS-aware Web Service Selection is a crucially important issue in Service Oriented Communication which enables communication by integrating communication web services over Internet. Because of the growing number of candidate web services that provide the same functionality but differ in Quality of Service...
Yuanquan Shi, Xiaojie Liu, Tao Li, Xiaoning Peng, Wen Chen, Ruirui Zhang, Yanming Fu
Pages: 43 - 60
To solve chaotic time series prediction problem, a novel Prediction approach for chaotic time series based on Immune Optimization Theory (PIOT) is proposed. In PIOT, the concepts and formal definitions of antigen, antibody and affinity being used for time series prediction are given, and the mathematical...
Maozhu Jin, Xia Lei, Jian Du
Pages: 74 - 87
Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the optimized strategy. The problem of multiple frequency...
Yu K. Fang, Jun L. Zhou, Yan Fu, Chong J. Sun
Pages: 88 - 100
The goal of boosting algorithm is to maximize the minimum margin on sample set. Based on minimax theory, the goal can be converted into minimize the maximum edge. This idea motivates LPBoost and its variants (including TotalBoost, SoftBoost, ERLPBoost) which solve the optimization problem by linear programming....