Advances in Swarm Intelligence

1. Front Matter

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2. Fuzzy Methods

   1. On the Correlations between Fuzzy Variables

      • Yankui Liu, Xin Zhang

      Pages 1-8

   2. Modeling Fuzzy Data Envelopment Analysis with Expectation Criterion

      • Xiaodong Dai, Ying Liu, Rui Qin

      Pages 9-16

   3. Finding and Evaluating Fuzzy Clusters in Networks

      • Jian Liu

      Pages 17-26

   4. On Fuzzy Diagnosis Model of Plane’s Revolution Swing Fault and Simulation Researches

      • Dongcai Qu, Jihong Cheng, Wanli Dong, Ruizhi Zhang

      Pages 27-34

   5. Fuzzy Cluster Centers Separation Clustering Using Possibilistic Approach

      • Xiaohong Wu, Bin Wu, Jun Sun, Haijun Fu, Jiewen Zhao

      Pages 35-42

   6. A Class of Fuzzy Portfolio Optimization Problems: E-S Models

      • Yankui Liu, Xiaoli Wu

      Pages 43-50

   7. Application of PSO-Adaptive Neural-fuzzy Inference System (ANFIS) in Analog Circuit Fault Diagnosis

      • Lei Zuo, Ligang Hou, Wang Zhang, Shuqin Geng, Wucheng Wu

      Pages 51-57

3. Applications of Computational Intelligence Algorithms

   1. Chaos Optimization SVR Algorithm with Application in Prediction of Regional Logistics Demand

      • Haiyan Yang, Yongquan Zhou, Hongxia Liu

      Pages 58-64

   2. Cooperation Partners Selection for Multiple-Core-Type MPN

      • Shuili Yang, Taofen Li, Yu Dong

      Pages 65-70

   3. A New Technique for Forecast of Surface Runoff

      • Lihua Feng, Juhua Zheng

      Pages 71-76

   4. Computational Intelligence Algorithms Analysis for Smart Grid Cyber Security

      • Yong Wang, Da Ruan, Jianping Xu, Mi Wen, Liwen Deng

      Pages 77-84

   5. Using AOBP for Definitional Question Answering

      • Junkuo Cao, Weihua Wang, Yuanzhong Shu

      Pages 85-91

   6. Radial Basis Function Neural Network Based on PSO with Mutation Operation to Solve Function Approximation Problem

      • Xiaoyong Liu

      Pages 92-99

   7. CRPSO-Based Integrate-and-Fire Neuron Model for Time Series Prediction

      • Liang Zhao, Feng Qian

      Pages 100-107

   8. An Agent-Based Model of Make-to-Order Supply Chains

      • Jing Li, Zhaohan Sheng

      Pages 108-115

4. Signal Processing and Information Security

   1. Pricing and Bidding Strategy in AdWords Auction under Heterogeneous Products Scenario

      • E. Zhang, Yiqin Zhuo

      Pages 116-123

   2. FIR Cutoff Frequency Calculating for ECG Signal Noise Removing Using Artificial Neural Network

      • Sara Moein

      Pages 124-131

   3. A System Identification Using DRNN Based on Swarm Intelligence

      • Qunzhou Yu, Jian Guo, Cheng Zhou

      Pages 132-139

   4. Force Identification by Using SVM and CPSO Technique

      • Zhichao Fu, Cheng Wei, Yanlong Yang

      Pages 140-148

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, Engineering Drive 3, 4 Engineering Drive 3, National University of Singapore, Singapore

  Kay Chen Tan

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