International Journal of Computational Intelligence Systems
Volume 3, Issue Supplement 1, December 2010
Special Issue on Intelligence Computation and Evolutionary Computation
Jesus Alcal´a-Fdez, Jose M. Alonso
Pages: 0 - 0
2. A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Nonuniform Hypermutation
Zaijin Zou, Xinchao Zhao, 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...
3. An improved Particle Swarm Optimization Algorithm for QoS-aware Web Service Selection in Service Oriented Communication
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...
4. Application of Bayesian Decision Theory Based on Prior Information in the Multi-Objective Optimization Problem
Xia Lei, Maozhu Jin, Qiang Wang
Pages: 31 - 42
General multi-objective optimization methods are hard to obtain prior information, how to utilize prior information has been a challenge. This paper analyzes the characteristics of Bayesian decision-making based on maximum entropy principle and prior information, especially in case that how to effectively...
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...
Tao Wu, Kun Qin
Pages: 61 - 73
Uncertainty is an inherent part of image segmentation in real world applications. The use of new methods for handling incomplete information is of fundamental importance. Type-1 fuzzy sets used in conventional image segmentation cannot fully handle the uncertainties. Type-2 fuzzy sets and cloud model...
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...
Jun L. Zhou, Yu K. Fang, 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....
Xiao-ming You, Sheng Liu, Yu-ming Wang
Pages: 101 - 113
A novel Parallel Ant Colony Optimization Algorithm based on Quantum dynamic mechanism for traveling salesman problem (PQACO) is proposed. The use of the improved 3-opt operator provides this methodology with superior local search ability; several antibody diversification schemes were incorporated into...
Leng Kaijun, Wang Yuxia
Pages: 114 - 128
An effective inventory replenishment method employed in the supply chain is one of the key factors to achieving low inventory while maintaining high customer delivery performance. The state of demand process is often not directly observed by the decision maker. Thus, in many literatures, the inventory...