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Bio-Inspired Computing and Applications

7th International Conference on Intelligent Computing, ICIC2011, Zhengzhou, China, August 11-14. 2011, Revised Papers

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. De-Shuang Huang

    1. School of Electronics and Information Engineering, Tongji University, China

  2. Yong Gan

    1. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China

  3. Prashan Premaratne

    1. School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, North Wollongong, Australia

  4. Kyungsook Han

    1. School of Computer Science and Engineering, Inha University, Inchon, Korea

  • Up-to-date results
  • Fast track conference proceedings
  • State-of-the-art report

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6840)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ICIC 2011.

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About this book

The three-volume set LNCS 6838, LNAI 6839, and LNBI 6840 constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This volume contains 93 revised full papers, from a total of 281 presentations at the conference - carefully reviewed and selected from 832 initial submissions. The papers address all issues in Advanced Intelligent Computing, especially Methodologies and Applications, including theories, methodologies, and applications in science and technology. They include a range of techniques such as artificial intelligence, pattern recognition, evolutionary computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, human computer interface issues, etc.

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Keywords

Table of contents (93 papers)

  1. Knowledge Discovery and Data Mining

    1. Syntactic Pattern Recognition from Observations: A Hybrid Technique

      • Vincenzo Di Lecce, Marco Calabrese
      Pages 136-143

    2. An Efficient Ensemble Method for Classifying Skewed Data Streams

      • Juan Zhang, Xuegang Hu, Yuhong Zhang, Peipei Li
      Pages 144-151

    3. An Association Rules Algorithm Based on Kendall-τ

      • Anping Zeng, Yongping Huang
      Pages 152-159

    4. A Recommendation Algorithm Combining Clustering Method and Slope One Scheme

      • Zhenzhen Mi, Congfu Xu
      Pages 160-167

    5. Dimensional Reduction Based on Artificial Bee Colony for Classification Problems

      • Thananan Prasartvit, Boonserm Kaewkamnerdpong, Tiranee Achalakul
      Pages 168-175

  2. Evolutionary Learning and Genetic Algorithms

    1. Robust Controller Design for Main Steam Pressure Based on SPEA2

      • Shuan Wang, Dapeng Hua, Zhiguo Zhang, Ming Li, Ke Yao, Zhanyou Wen
      Pages 176-182

    2. GA-Based Hybrid Algorithm for MBR Problem of FIPP p-Cycles for Node Failure on Survivable WDM Networks

      • Der-Rong Din
      Pages 183-190

    3. A New Hybrid Algorithm for the Multidimensional Knapsack Problem

      • Xiaoxia Zhang, Zhe Liu, Qiuying Bai
      Pages 191-198

    4. Multi-population Cooperative Cultural Algorithms

      • Yi-nan Guo, Dandan Liu, Jian Cheng
      Pages 199-206

    5. A Hybrid Quantum-Inspired Particle Swarm Evolution Algorithm and SQP Method for Large-Scale Economic Dispatch Problems

      • Qun Niu, Zhuo Zhou, Tingting Zeng
      Pages 207-214

    6. Recursive and Incremental Learning GA Featuring Problem-Dependent Rule-Set

      • Haofan Zhang, Lei Fang, Sheng-Uei Guan
      Pages 215-222

    7. Evaluation of Crossover Operator Performance in Genetic Algorithms with Binary Representation

      • Stjepan Picek, Marin Golub, Domagoj Jakobovic
      Pages 223-230

  3. Biological and Quantum Computing

    1. Quantum Information Splitting Using GHZ-Type and W-Type States

      • Lvzhou Li, Daowen Qiu
      Pages 231-238

    2. Attacks and Improvements of QSDC Schemes Based on CSS Codes

      • Xiangfu Zou, Daowen Qiu
      Pages 239-246

  4. Machine Learning Theory and Methods

    1. Stochastic System Identification by Evolutionary Algorithms

      • Yi Cao, Yuehui Chen, Yaou Zhao
      Pages 247-252

  5. Biomedical Informatics Theory and Methods

    1. Do MicroRNAs Preferentially Target the Genes with Low DNA Methylation Level at the Promoter Region?

      • Zhixi Su, Junfeng Xia, Zhongming Zhao
      Pages 253-258

  6. Complex Systems Theory and Methods

    1. Ameliorating GM (1, 1) Model Based on the Structure of the Area under Parabola

      • Cuifeng Li, Jianbo Ye, Fatai Zheng
      Pages 259-266

    2. Reliability of Standby Systems

      • Salvatore Distefano
      Pages 267-275

  7. Intelligent Computing Theory and Methods

    1. A Kernel Function Based Estimation Algorithm for Multi-layer Soil Structure

      • Min-Jae Kang, Chang-Jin Boo, Ho-Chan Kim
      Pages 276-281

    2. Computing Technique in Ancient India

      • Chitralekha Mehera
      Pages 282-289
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Other volumes

  1. Advanced Intelligent Computing

  2. Advanced Intelligent Computing Theories and Applications

  3. Bio-Inspired Computing and Applications

Editors and Affiliations

  • School of Electronics and Information Engineering, Tongji University, China

    De-Shuang Huang

  • School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China

    Yong Gan

  • School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, North Wollongong, Australia

    Prashan Premaratne

  • School of Computer Science and Engineering, Inha University, Inchon, Korea

    Kyungsook Han

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