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  • Conference proceedings
  • © 2007

Advances in Computation and Intelligence

Second International Symposium, ISICA 2007, Wuhan, China, September 21-23, 2007, Proceedings

Editors:

  1. Lishan Kang
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  2. Yong Liu
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  3. Sanyou Zeng
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4683)

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

Conference series link(s): ISICA: International Symposium on Intelligence Computation and Applications

Conference proceedings info: ISICA 2007.

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Table of contents (71 papers)

  1. Front Matter

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  2. Multiobjective Evolutionary Optimization

    1. A New Evolutionary Decision Theory for Many-Objective Optimization Problems

      • Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, Changhe Li, Ming Yang et al.
      Pages 1-11

    2. A Multi-Objective Genetic Algorithm Based on Density

      • Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling
      Pages 12-25

    6. The Multi-objective ITO Algorithms

      • Wenyong Dong, Dengyi Zhang, Yuanxiang Li
      Pages 53-61

    7. An Evolutionary Algorithm for Dynamic Multi-Objective TSP

      • Ming YangP, Lishan KangP, Jing GuanP
      Pages 62-71

    8. The Construction of Dynamic Multi-objective Optimization Test Functions

      • Min Tang, Zhangcan Huang, Guangxi Chen
      Pages 72-79

  3. Evolutionary Algorithms and Operators

    4. Differential Evolution Algorithm Based on Simulated Annealing

      • Kunqi Liu, Xin Du, Lishan Kang
      Pages 120-126

    5. A Novel Memetic Algorithm for Global Optimization Based on PSO and SFLA

      • Ziyang Zhen, Zhisheng Wang, Zhou Gu, Yuanyuan Liu
      Pages 127-136

    6. Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation

      • Tuan-Hao Hoang, Daryl Essam, Bob McKay, Nguyen-Xuan Hoai
      Pages 137-146

    7. A Granular Evolutionary Algorithm Based on Cultural Evolution

      • Zuqiang Meng, Zhongzhi Shi
      Pages 147-156

    8. A Self-adaptive Mutations with Multi-parent Crossover Evolutionary Algorithm for Solving Function Optimization Problems

      • Guangming Lin, Lishan Kang, Yuping Chen, Bob McKay, Ruhul Sarker
      Pages 157-168

  4. Evolutionary Optimization

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Buy it now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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