Advances in Swarm Intelligence

1. Front Matter

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2. Classification Methods

   1. Semi-supervised Ant Evolutionary Classification

      • Ping He, Xiaohua Xu, Lin Lu, Heng Qian, Wei Zhang, Kanwen Li

      Pages 1-7

   2. Evolutionary Ensemble Model for Breast Cancer Classification

      • R. R. Janghel, Anupam Shukla, Sanjeev Sharma, A. V. Gnaneswar

      Pages 8-16

   3. Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context

      • Juan Pablo Sánchez-Crisostomo, Roberto Alejo, Erika López-González, Rosa María Valdovinos, J. Horacio Pacheco-Sánchez

      Pages 17-23

   4. A Novel Rough Set Reduct Algorithm to Feature Selection Based on Artificial Fish Swarm Algorithm

      • Fei Wang, Jiao Xu, Lian Li

      Pages 24-33

   5. Hand Gesture Shape Descriptor Based on Energy-Ratio and Normalized Fourier Transform Coefficients

      • Wenjun Tan, Zijiang Bian, Jinzhu Yang, Huang Geng, Zhaoxuan Gong, Dazhe Zhao

      Pages 34-41

   6. A New Evolutionary Support Vector Machine with Application to Parkinson’s Disease Diagnosis

      • Yao-Wei Fu, Hui-Ling Chen, Su-Jie Chen, LiMing Shen, QiuQuan Li

      Pages 42-49

3. GPU-Based Methods

   1. Parallel Bees Swarm Optimization for Association Rules Mining Using GPU Architecture

      • Youcef Djenouri, Habiba Drias

      Pages 50-57

   2. A Method for Ripple Simulation Based on GPU

      • Xianjun Chen, Yanmei Wang, Yongsong Zhan

      Pages 58-65

   3. cuROB: A GPU-Based Test Suit for Real-Parameter Optimization

      • Ke Ding, Ying Tan

      Pages 66-78

4. Scheduling and Path Planning

   1. A Particle Swarm Optimization Based Pareto Optimal Task Scheduling in Cloud Computing

      • A. S. Ajeena Beegom, M. S. Rajasree

      Pages 79-86

   2. Development on Harmony Search Hyper-heuristic Framework for Examination Timetabling Problem

      • Khairul Anwar, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Mohammed A. Awadallah

      Pages 87-95

   3. Predator-Prey Pigeon-Inspired Optimization for UAV Three-Dimensional Path Planning

      • Bo Zhang, Haibin Duan

      Pages 96-105

   4. Research on Route Obstacle Avoidance Task Planning Based on Differential Evolution Algorithm for AUV

      • Jian-Jun Li, Ru-Bo Zhang, Yu Yang

      Pages 106-113

5. Wireless Sensor Network

   1. An Improved Particle Swarm Optimization-Based Coverage Control Method for Wireless Sensor Network

      • Huimin Du, Qingjian Ni, Qianqian Pan, Yiyun Yao, Qing Lv

      Pages 114-124

   2. An Improved Energy-Aware Cluster Heads Selection Method for Wireless Sensor Networks Based on K-means and Binary Particle Swarm Optimization

      • Qianqian Pan, Qingjian Ni, Huimin Du, Yiyun Yao, Qing Lv

      Pages 125-134

6. Power System Optimization

   1. Comparison of Multi-population PBIL and Adaptive Learning Rate PBIL in Designing Power System Controller

      • Komla A. Folly

      Pages 135-145

   2. Vibration Adaptive Anomaly Detection of Hydropower Unit in Variable Condition Based on Moving Least Square Response Surface

      • Xueli An, Luoping Pan

      Pages 146-154

   3. Capacity and Power Optimization for Collaborative Beamforming with Two Relay Clusters

      • Bingbing Lu, Ju Liu, Chao Wang, Hongji Xu, Qing Wang

      Pages 155-162

   4. Solving Power Economic Dispatch Problem Subject to DG Uncertainty via Bare-Bones PSO

      • Yue Jiang, Qi Kang, Lei Wang, Qidi Wu

      Pages 163-169

This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.

• ant colony optimization
• augmented reality
• automated and humanized design
• evolutionary algorithms
• genetic algorithms
• hybrid model
• machine learning
• machine vision
• mathematical expression recognition and retrieval
• medical diagnosis
• neural networks
• optimization algorithms
• parallel metaheuristics
• quantum particle optimizatiion
• reinforcement learning
• steganography
• swarm robotics
• watermarking
• algorithm analysis and problem complexity

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

  Ying Tan

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

  Yuhui Shi

• Computer Science Department, CINVESTAV-IPN, Mexico

  Carlos A. Coello Coello

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