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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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  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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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.

 

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Table of contents (59 papers)

  1. Front Matter

    Pages I-XXIV
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  2. Theories and Models of Swarm Intelligence

    1. Front Matter

      Pages 1-1
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    2. Semi-Markov Model of a Swarm Functioning

      • E. V. Larkin, M. A. Antonov
      Pages 3-13

    3. Modelling and Verification Analysis of the Predator-Prey System via a Modal Logic Approach

      • Zvi Retchkiman Konigsberg
      Pages 14-21

    4. The Access Model to Resources in Swarm System Based on Competitive Processes

      • Eugene Larkin, Alexey Ivutin, Alexander Novikov, Anna Troshina, Yulia Frantsuzova
      Pages 22-31

    5. Self-organization of Small-Scale Plankton Patchiness Described by Means of the Object-Based Model

      • Elena Vasechkina
      Pages 32-41

    6. On the Cooperation Between Evolutionary Algorithms and Constraint Handling Techniques

      • Chengyong Si, Jianqiang Shen, Weian Guo, Lei Wang
      Pages 42-50

    7. An Ontological Framework for Cooperative Games

      • Manuel-Ignacio Balaguera, Jenny-Paola Lis-Gutierrez, Mercedes Gaitán-Angulo, Amelec Viloria, Rafael Portillo-Medina
      Pages 51-57

    8. An Adaptive Game Model for Broadcasting in VANETs

      • Xi Hu, Tao Wu
      Pages 58-67

    9. Soft Island Model for Population-Based Optimization Algorithms

      • Shakhnaz Akhmedova, Vladimir Stanovov, Eugene Semenkin
      Pages 68-77

    10. A Smart Initialization on the Swarm Intelligence Based Method for Efficient Search of Optimal Minimum Energy Design

      • Tun-Chieh Hsu, Frederick Kin Hing Phoa
      Pages 78-87

  3. Ant Colony Optimization

    1. Front Matter

      Pages 89-89
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    2. On the Application of a Modified Ant Algorithm to Optimize the Structure of a Multiversion Software Package

      • M. V. Saramud, I. V. Kovalev, V. V. Losev, M. V. Karaseva, D. I. Kovalev
      Pages 91-100

    3. ACO Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks

      • Jing Liang, Xiujuan Lei, Ling Guo, Ying Tan
      Pages 101-112

    4. Information-Centric Networking Routing Challenges and Bio/ACO-Inspired Solution: A Review

      • Qingyi Zhang, Xingwei Wang, Min Huang, Jianhui Lv
      Pages 113-122

  4. Particle Swarm Optimization

    1. Front Matter

      Pages 123-123
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    2. Particle Swarm Optimization Based on Pairwise Comparisons

      • JunQi Zhang, JianQing Chen, XiXun Zhu, ChunHui Wang
      Pages 125-131

    3. Chemical Reaction Intermediate State Kinetic Optimization by Particle Swarm Optimization

      • Fei Tan, Bin Xia
      Pages 132-142

  5. Artificial Bee Colony Algorithms

    1. Front Matter

      Pages 143-143
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    2. A Hyper-Heuristic of Artificial Bee Colony and Simulated Annealing for Optimal Wind Turbine Placement

      • Peng-Yeng Yin, Geng-Shi Li
      Pages 145-152
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Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

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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