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Advances in Swarm Intelligence

9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Ying Tan

    1. Peking University, Beijing, China

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  2. Yuhui Shi

    1. Southern University of Science and Technology, Shenzhen, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Qirong Tang

    1. Tongji University, Shanghai, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10941)

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

Included in the following conference series:

Conference proceedings info: ICSI 2018.

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Table of contents (59 papers)

  1. Artificial Bee Colony Algorithms

    1. New Binary Artificial Bee Colony for the 0-1 Knapsack Problem

      • Mourad Nouioua, Zhiyong Li, Shilong Jiang
      Pages 153-165

    2. Teaching-Learning-Based Artificial Bee Colony

      • Xu Chen, Bin Xu
      Pages 166-178

    3. An Improved Artificial Bee Colony Algorithm for the Task Assignment in Heterogeneous Multicore Architectures

      • Tao Zhang, Xuan Li, Ganjun Liu
      Pages 179-187

  2. Genetic Algorithms

    1. Front Matter

      Pages 189-189
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    2. Solving Vehicle Routing Problem Through a Tabu Bee Colony-Based Genetic Algorithm

      • Lingyan Lv, Yuxin Liu, Chao Gao, Jianjun Chen, Zili Zhang
      Pages 191-200

    3. Generation of Walking Motions for the Biped Ascending Slopes Based on Genetic Algorithm

      • Lulu Gong, Ruowei Zhao, Jinye Liang, Lei Li, Ming Zhu, Ying Xu et al.
      Pages 201-209

    4. On Island Model Performance for Cooperative Real-Valued Multi-objective Genetic Algorithms

      • Christina Brester, Ivan Ryzhikov, Eugene Semenkin, Mikko Kolehmainen
      Pages 210-219

  3. Differential Evolution

    1. Front Matter

      Pages 221-221
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    2. Feature Subset Selection Using a Self-adaptive Strategy Based Differential Evolution Method

      • Ben Niu, Xuesen Yang, Hong Wang, Kaishan Huang, Sung-Shun Weng
      Pages 223-232

    3. Improved Differential Evolution Based on Mutation Strategies

      • John Saveca, Zenghui Wang, Yanxia Sun
      Pages 233-242

    4. Applying a Multi-Objective Differential Evolution Algorithm in Translation Control of an Immersed Tunnel Element

      • Qing Liao, Qinqin Fan
      Pages 243-250

    5. Path Planning on Hierarchical Bundles with Differential Evolution

      • Victor Parque, Tomoyuki Miyashita
      Pages 251-260

  4. Fireworks Algorithm

    1. Front Matter

      Pages 261-261
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    2. Accelerating the Fireworks Algorithm with an Estimated Convergence Point

      • Jun Yu, Hideyuki Takagi, Ying Tan
      Pages 263-272

    3. Discrete Fireworks Algorithm for Clustering in Wireless Sensor Networks

      • Feng-Zeng Liu, Bing Xiao, Hao Li, Li Cai
      Pages 273-282

    4. Bare Bones Fireworks Algorithm for Capacitated p-Median Problem

      • Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba
      Pages 283-291

  5. Bacterial Foraging Optimization

    1. Front Matter

      Pages 293-293
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    2. Differential Structure-Redesigned-Based Bacterial Foraging Optimization

      • Lu Xiao, Jinsong Chen, Lulu Zuo, Huan Wang, Lijing Tan
      Pages 295-303

    3. An Algorithm Based on the Bacterial Swarm and Its Application in Autonomous Navigation Problems

      • Fredy Martínez, Angelica Rendón, Mario Arbulú
      Pages 304-313

  6. Artificial Immune System

    1. Front Matter

      Pages 315-315
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Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

Keywords

About this book

The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections as follows: theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithms; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization; multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; prediction, classification; finding patterns; image enhancement; deep learning.

 

Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  • Tongji University, Shanghai, China

    Qirong Tang

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