Advances in Swarm Intelligence

1. Applications of PSO Algorithms

   1. Medical Image Registration Algorithm with Generalized Mutual Information and PSO-Powell Hybrid Algorithm

      • Jingzhou Zhang, Pengfei Huo, Jionghua Teng, Xue Wang, Suhuan Wang

      Pages 160-166

   2. Particle Swarm Optimization for Automatic Selection of Relevance Feedback Heuristics

      • Peng-Yeng Yin

      Pages 167-174

   3. Performance of Optimized Fuzzy Edge Detectors using Particle Swarm Algorithm

      • Noor Elaiza Abdul Khalid, Mazani Manaf

      Pages 175-182

   4. PSO Heuristics Algorithm for Portfolio Optimization

      • Yun Chen, Hanhong Zhu

      Pages 183-190

   5. A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problem

      • Jianhua Zhang, Yingxin Wang, Rui Wang, Guolian Hou

      Pages 191-197

   6. Optimal Micro-siting of Wind Farms by Particle Swarm Optimization

      • Chunqiu Wan, Jun Wang, Geng Yang, Xing Zhang

      Pages 198-205

   7. PSO Applied to Table Allocation Problems

      • David A. Braude, Anton van Wyk

      Pages 206-213

   8. Finding the Maximum Module of the Roots of a Polynomial by Particle Swarm Optimization

      • Liangdong Qu, Dengxu He

      Pages 214-221

2. ACO Algorithms

   1. Research on the Ant Colony Optimization Algorithm with Multi-population Hierarchy Evolution

      • Xuzhi Wang, Jing Ni, Wanggen Wan

      Pages 222-230

   2. Graph Partitioning Using Improved Ant Clustering

      • M. Sami Soliman, Guanzheng Tan

      Pages 231-240

   3. A Knowledge-Based Ant Colony Optimization for a Grid Workflow Scheduling Problem

      • Yanli Hu, Lining Xing, Weiming Zhang, Weidong Xiao, Daquan Tang

      Pages 241-248

   4. An Improved Parallel Ant Colony Optimization Based on Message Passing Interface

      • Jie Xiong, Xiaohong Meng, Caiyun Liu

      Pages 249-256

3. Applications of ACO Algorithms

   1. Research on Fault Diagnosis Based on BP Neural Network Optimized by Chaos Ant Colony Algorithm

      • Liuyi Ling, Yourui Huang, Liguo Qu

      Pages 257-264

   2. Edge Detection of Laser Range Image Based on a Fast Adaptive Ant Colony Algorithm

      • Yonghua Wu, Yihua Hu, Wuhu Lei, Nanxiang Zhao, Tao Huang

      Pages 265-272

   3. A Real-Time Moving Ant Estimator for Bearings-Only Tracking

      • Jihong Zhu, Benlian Xu, Fei Wang, Zhiquan Wang

      Pages 273-280

   4. Two-Stage Inter-Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms

      • Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala

      Pages 281-289

   5. Images Boundary Extraction Based on Curve Evolution and Ant Colony Algorithm

      • JinJiang Li, Da Yuan, Zhen Hua, Hui Fan

      Pages 290-297

   6. ACO Based Energy-Balance Routing Algorithm for WSNs

      • Xuepeng Jiang, Bei Hong

      Pages 298-305

   7. Swarm Intelligence Algorithms for Portfolio Optimization

      • Hanhong Zhu, Yun Chen, Kesheng Wang

      Pages 306-313

4. Artificial Immune System

   1. Document Classification with Multi-layered Immune Principle

      • Chunlin Liang, Yindie Hong, Yuefeng Chen, Lingxi Peng

      Pages 314-320

This book and its companion volume, LNCS vols. 6145 and 6146, constitute the proceedings of the International Conference on Swarm Intelligence (ICSI 2010) held in Beijing, the capital of China, during June 12-15, 2010. ICSI 2010 was the ?rst gathering in the world for researchers working on all aspects of swarm intelligence, and providedan academic forum for the participants to disseminate theirnewresearch?ndingsanddiscussemergingareasofresearch.Italsocreated a stimulating environment for the participants to interact and exchange inf- mation on future challenges and opportunities of swarm intelligence research. ICSI 2010 received 394 submissions from about 1241 authors in 22 countries and regions (Australia, Belgium, Brazil, Canada, China, Cyprus, Hong Kong, Hungary, India, Islamic Republic of Iran, Japan, Jordan, Republic of Korea, Malaysia, Mexico, Norway, Pakistan, South Africa, Chinese Taiwan, UK, USA, Vietnam) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Each submission was reviewed by at least three reviewers. Based on rigorous reviews by the Program Committee members and reviewers, 185 high-quality papers were selected for publication in the proceedings with the acceptance rate of 46.9%. The papers are organized in 25 cohesive sections covering all major topics of swarm intelligence research and development.

• algorithms
• computational intelligence
• data mining
• evolution
• evolutionary computation
• genetic algorithm
• learning
• machine learning
• multi-objective optimization
• optimization
• robot
• swarm intelligence
• algorithm analysis and problem complexity

• Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, Beijing, China

  Ying Tan

• Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University, Suzhoum, China

  Yuhui Shi

• Department of Electrical and Computer Engineering, National University of Singapore, Singapore

  Kay Chen Tan

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