Advances in Swarm Intelligence, Part I

1. Front Matter

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2. Theoretical Analysis of Swarm Intelligence Algorithms

   1. Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling

      • Juan Luis Fernández-Martínez, Esperanza García-Gonzalo, Saras Saraswathi, Robert Jernigan, Andrzej Kloczkowski

      Pages 1-8

   2. Building Computational Models of Swarms from Simulated Positional Data

      • Graciano Dieck Kattas, Michael Small

      Pages 9-18

   3. Robustness and Stagnation of a Swarm in a Cooperative Object Recognition Task

      • David King, Philip Breedon

      Pages 19-27

   4. Enforced Mutation to Enhancing the Capability of Particle Swarm Optimization Algorithms

      • PenChen Chou, JenLian Chen

      Pages 28-37

   5. Normalized Population Diversity in Particle Swarm Optimization

      • Shi Cheng, Yuhui Shi

      Pages 38-45

   6. Particle Swarm Optimization with Disagreements

      • Andrei Lihu, Ştefan Holban

      Pages 46-55

   7. PSOslope: A Stand-Alone Windows Application for Graphical Analysis of Slope Stability

      • Walter Chen, Powen Chen

      Pages 56-63

   8. A Review of the Application of Swarm Intelligence Algorithms to 2D Cutting and Packing Problem

      • Yanxin Xu, Gen Ke Yang, Jie Bai, Changchun Pan

      Pages 64-70

3. Particle Swarm Optimization

   1. Inertia Weight Adaption in Particle Swarm Optimization Algorithm

      • Zheng Zhou, Yuhui Shi

      Pages 71-79

   2. Nonlinear Inertia Weight Variation for Dynamic Adaptation in Particle Swarm Optimization

      • Wudai Liao, Junyan Wang, Jiangfeng Wang

      Pages 80-85

   3. An Adaptive Tribe-Particle Swarm Optimization

      • Yong Duan Song, Lu Zhang, Peng Han

      Pages 86-92

   4. A Novel Hybrid Binary PSO Algorithm

      • Muhammd Ilyas Menhas, MinRui Fei, Ling Wang, Xiping Fu

      Pages 93-100

   5. PSO Algorithm with Chaos and Gene Density Mutation for Solving Nonlinear Zero-One Integer Programming Problems

      • Yuelin Gao, Fanfan Lei, Huirong Li, Jimin Li

      Pages 101-110

   6. A New Binary PSO with Velocity Control

      • Laura Lanzarini, Javier López, Juan Andrés Maulini, Armando De Giusti

      Pages 111-119

   7. Adaptive Particle Swarm Optimization Algorithm for Dynamic Environments

      • Iman Rezazadeh, Mohammad Reza Meybodi, Ahmad Naebi

      Pages 120-129

   8. An Improved Particle Swarm Optimization with an Adaptive Updating Mechanism

      • Jie Qi, Yongsheng Ding

      Pages 130-137

   9. Mortal Particles: Particle Swarm Optimization with Life Span

      • Yong-wei Zhang, Lei Wang, Qi-di Wu

      Pages 138-146

4. Applications of PSO Algorithms

   1. PSO Based Pseudo Dynamic Method for Automated Test Case Generation Using Interpreter

      • Surender Singh Dahiya, Jitender Kumar Chhabra, Shakti Kumar

      Pages 147-156

   2. Reactive Power Optimization Based on Particle Swarm Optimization Algorithm in 10kV Distribution Network

      • Chao Wang, Gang Yao, Xin Wang, Yihui Zheng, Lidan Zhou, Qingshan Xu et al.

      Pages 157-164

The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.

• cellular automata
• cloud computing
• image processing
• mathematical modeling
• wireless sensor networks
• algorithm analysis and problem complexity

• Key Laboratory of Machine Perception, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China

  Ying Tan

• Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

  Yuhui Shi

• Automation College, Chongqing University, Chongqing, China

  Yi Chai

• Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China

  Guoyin Wang

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