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Advances in Swarm Intelligence

7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Ying Tan

    1. Peking University, Beijing, China

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  2. Yuhui Shi

    1. Xi'an Jiaotong-Liverpool University, Suzhou, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Li Li

    1. Shenzen University, Shenzhen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9713)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICSI 2016.

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Table of contents (67 papers)

  1. Front Matter

    Pages I-XXVII
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  2. Scheduling and Planning

    1. Front Matter

      Pages 1-1
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    2. Hyper-heuristics for the Flexible Job Shop Scheduling Problem with Additional Constraints

      • Jacomine Grobler, Andries P. Engelbrecht
      Pages 3-10

    3. On-Orbit Servicing Mission Planning for Multi-spacecraft Using CDPSO

      • Jianxin Zhang, Ying Zhang, Qiang Zhang
      Pages 11-18

    4. Solving the Test Task Scheduling Problem with a Genetic Algorithm Based on the Scheme Choice Rule

      • Jinhua Shi, Hui Lu, Kefei Mao
      Pages 19-27

    5. Robust Dynamic Vehicle Routing Optimization with Time Windows

      • Yinan Guo, Jian Cheng, Junhua Ji
      Pages 28-36

    6. Task Oriented Load Balancing Strategy for Service Resource Allocation in Cloud Environment

      • He Luo, Zhengzheng Liang, Yanqiu Niu, Xiang Fang
      Pages 37-46

    7. Solving Flexible Job-Shop Scheduling Problem with Transfer Batches, Setup Times and Multiple Resources in Apparel Industry

      • Miguel Ortiz, Dionicio Neira, Genett Jiménez, Hugo Hernández
      Pages 47-58

    8. A Comparative Analysis of Genetic Algorithms and QAP Formulation for Facility Layout Problem: An Application in a Real Context

      • Fabricio Niebles, Ivan Escobar, Luis Agudelo, Genett Jimenez
      Pages 59-75

  3. Machine Learning Methods

    1. Front Matter

      Pages 77-77
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    2. An Empirical Evaluation of Machine Learning Algorithms for Image Classification

      • Thembinkosi Nkonyana, Bhekisipho Twala
      Pages 79-88

    3. An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection

      • Ya-Qi Wu, Fei Han, Qing-Hua Ling
      Pages 89-96

    4. An Improved LMDS Algorithm

      • Taiguo Qu, Zixing Cai
      Pages 97-104

  4. Clustering Algorithm

    1. Front Matter

      Pages 105-105
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    2. An Improved K-means Clustering Algorithm Based on the Voronoi Diagram Method

      • Jiuyuan Huo, Honglei Zhang
      Pages 107-114

    3. Brain Storm Optimization with Agglomerative Hierarchical Clustering Analysis

      • Junfeng Chen, Jingyu Wang, Shi Cheng, Yuhui Shi
      Pages 115-122

    4. Discovering Alias for Chemical Material with NGD

      • Ching Yi Chen, Ping-Yu Hsu, Ming Shien Cheng, Jui Yi Chung, Ming Chia Hsu
      Pages 123-131

    5. Estimate the Kinematics with EMG Signal Using Fuzzy Wavelet Neural Network for Biomechanical Leg Application

      • Weiwei Yu, Yangyang Feng, Weiyu Liang, Runxiao Wang, Kurosh Madani
      Pages 132-140

    6. A Physarum-Based General Computational Framework for Community Mining

      • Mingxin Liang, Xianghua Li, Zili Zhang
      Pages 141-149

    7. Rank-Based Nondomination Set Identification with Preprocessing

      • Vikas Palakonda, Rammohan Mallipeddi
      Pages 150-157
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Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

Keywords

About this book

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks;swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems. 

Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

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

    Yuhui Shi

  • Shenzen University, Shenzhen, China

    Li Li

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