Advances in Swarm and Computational Intelligence

1. Front Matter

   Pages I-XXXI

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2. Novel Swarm-based Optimization Algorithms and Applications

   1. Front Matter

      Pages 1-1

      PDF

   2. Effects of Topological Variations on Opinion Dynamics Optimizer

      • Rishemjit Kaur, Ritesh Kumar, Amol P Bhondekar, Reiji Suzuki, Takaya Arita

      Pages 3-13

   3. Utilizing Abstract Phase Spaces in Swarm Design and Validation

      • Sanza Kazadi, Dexin Jin, M. Li

      Pages 14-29

   4. Memetic Electromagnetism Algorithm for Finite Approximation with Rational Bézier Curves

      • Andrés Iglesias, Akemi Gálvez

      Pages 30-40

   5. Solving the Set Covering Problem with Binary Cat Swarm Optimization

      • Broderick Crawford, Ricardo Soto, Natalia Berríos, Franklin Johnson, Fernando Paredes

      Pages 41-48

   6. Bird Mating Optimizer in Structural Damage Identification

      • H. Li, J. K. Liu, Z. R. Lu

      Pages 49-56

   7. Structural Damage Detection and Moving Force Identification Based on Firefly Algorithm

      • Chudong Pan, Ling Yu

      Pages 57-64

   8. Unit Commitment with Electric Vehicles Based on an Improved Harmony Search Algorithm

      • Qun Niu, Chao Wang, Letian Zhang

      Pages 65-73

   9. A Physarum-Inspired Vacant-Particle Model with Shrinkage for Transport Network Design

      • Yuxin Liu, Chao Gao, Mingxin Liang, Li Tao, Zili Zhang

      Pages 74-81

   10. Bean Optimization Algorithm Based on Negative Binomial Distribution

       • Tinghao Feng, Qilian Xie, Haiying Hu, Liangtu Song, Chaoyuan Cui, Xiaoming Zhang

       Pages 82-88

   11. On the Application of Co-Operative Swarm Optimization in the Solution of Crystal Structures from X-Ray Diffraction Data

       • Alexandr Zaloga, Sergey Burakov, Eugene Semenkin, Igor Yakimov, Shakhnaz Akhmedova, Maria Semenkina et al.

       Pages 89-96

3. Particle Swarm Optimization

   1. Front Matter

      Pages 97-97

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   2. Swarm Diversity Analysis of Particle Swarm Optimization

      • Yuanxia Shen, Linna Wei, Chuanhua Zeng

      Pages 99-106

   3. A Self-learning Bare-Bones Particle Swarms Optimization Algorithm

      • Jian Chen, Yuanxia Shen, Xiaoyan Wang

      Pages 107-114

   4. Improved DPSO Algorithm with Dynamically Changing Inertia Weight

      • Jing Xin, Cuicui Yan, Xiangshuai Han

      Pages 115-123

   5. An Improved PSO-NM Algorithm for Structural Damage Detection

      • Zepeng Chen, Ling Yu

      Pages 124-132

   6. A Fully-Connected Micro-extended Analog Computers Array Optimized by Particle Swarm Optimizer

      • Yilin Zhu, Feng Pan, Xuemei Ren

      Pages 133-144

   7. A Population-Based Clustering Technique Using Particle Swarm Optimization and K-Means

      • Ben Niu, Qiqi Duan, Lijing Tan, Chao Liu, Ping Liang

      Pages 145-152

   8. A Novel Boundary Based Multiobjective Particle Swarm Optimization

      • Fushan Li, Shufang Xie, Qingjian Ni

      Pages 153-163

This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis.

• Algorithms
• Ant colony optimization
• Big data
• Biologically inspired algorithms
• Cellular automata
• Cloud computing
• Collaborative modeling
• Constrained optimization
• Data mining
• Evolutionary algorithm
• Genetic algorithm
• Informatidn hiding
• Machine learning
• Multi-agent system
• Neural networks
• Ontology
• Optimization
• Particle swarm optimization
• Pattern recognition
• Simulation and modeling

• Peking University, Beijing, China

  Ying Tan

• Xi'an Jiaotong-Liverpool University, Suzhou, China

  Yuhui Shi

• Universidade de Pernambuco, Recife, Brazil

  Fernando Buarque

• Instituto Politécnico Nacional, Mexico, Mexico

  Alexander Gelbukh

• Indian Statistical Institute, Kolkata, India

  Swagatam Das

• University of Pretoria, Pretoria, South Africa

  Andries Engelbrecht

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