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Intelligent and Evolutionary Systems

The 19th Asia Pacific Symposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Kittichai Lavangnananda

    1. School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

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  2. Somnuk Phon-Amnuaisuk

    1. School of Computing and Informatics, Institut Teknologi Brunei, Gadong, Brunei Darussalam

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  3. Worrawat Engchuan

    1. School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

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  4. Jonathan H. Chan

    1. School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

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  • Presents recent research on Intelligent and Evolutionary Systems by leading experts from the Asia Pacific region
  • Proceedings of the 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems IES 2015, held at November 22-25 2015 in Bangkok, Thailand
  • Interdisciplinary book targeted at researchers in applied and computer science

Part of the book series: Proceedings in Adaptation, Learning and Optimization (PALO, volume 5)

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About this book

This PALO volume constitutes the Proceedings of the 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2015), held in Bangkok, Thailand, November 22-25, 2015. The IES series of conference is an annual event that was initiated back in 1997 in Canberra, Australia. IES aims to bring together researchers from countries of the Asian Pacific Rim, in the fields of intelligent systems and evolutionary computation, to exchange ideas, present recent results and discuss possible collaborations. Researchers beyond Asian Pacific Rim countries are also welcome and encouraged to participate. The theme for IES 2015 is “Transforming Big Data into Knowledge and Technological Breakthroughs”.

The host organization for IES 2015 is the School of Information Technology (SIT), King Mongkut’s University of Technology Thonburi (KMUTT), and it is technically sponsored by the International Neural Network Society (INNS). IES 2015 is collocated with three other conferences; namely, The 6th International Conference on Computational Systems-Biology and Bioinformatics 2015 (CSBio 2015), The 7th International Conference on Advances in Information Technology 2015 (IAIT 2015) and The 10th International Conference on e-Business 2015 (iNCEB 2015), as a major part of series of events to celebrate the SIT 20th anniversary and the KMUTT 55th anniversary.

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Keywords

Table of contents (34 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Agents and Complex Systems

    1. Front Matter

      Pages 1-1
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    2. An Experimental Analysis of a Robust Pheromone-Based Algorithm for the Patrolling Problem

      • Shigeo Doi
      Pages 3-14

    3. An Improved Evacuation Guidance System Based on Ant Colony Optimization

      • Asuka Ohta, Hirotaka Goto, Tomofumi Matsuzawa, Munehiro Takimoto, Yasushi Kambayashi, Masayuki Takeda
      Pages 15-27

    4. Computational Models Based on Forgiveness Mechanism for Untrustworthy Agents

      • Ruchdee Binmad, Mingchu Li
      Pages 29-42

    5. A New Adaptive Genetic Algorithm for Community Structure Detection

      • Yilmaz Atay, Halife Kodaz
      Pages 43-55

    6. A Logical Model of Communication Channels

      • Matteo Cristani, Francesco Olivieri, Katia Santacà
      Pages 57-71

  3. Data Mining and Its Applications

    1. Front Matter

      Pages 73-73
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    2. A New Approach for Wrapper Feature Selection Using Genetic Algorithm for Big Data

      • Waad Bouaguel
      Pages 75-83

    3. An Enhanced Univariate Discretization Based on Cluster Ensembles

      • Kittakorn Sriwanna, Tossapon Boongoen, Natthakan Iam-On
      Pages 85-98

    4. Recursive Binary Tube Partitioning for Classification

      • Suebkul Kanchanasuk, Krung Sinapiromsaran
      Pages 99-107

    5. Extreme-Centroid Tree for Outlier Detection

      • Panote Songwattanasiri, Krung Sinapiromsaran
      Pages 109-117

    6. Gaussian Fuzzy Integral Based Classification

      • Wang Jinfeng, Wang Wenzhong
      Pages 119-128

    7. Predicting Duration of CKD Progression in Patients with Hypertension and Diabetes

      • Warangkana Khannara, Natthakan Iam-On, Tossapon Boongoen
      Pages 129-141

    8. Prediction of Student Dropout Using Personal Profile and Data Mining Approach

      • Phanupong Meedech, Natthakan Iam-On, Tossapon Boongoen
      Pages 143-155

    9. The Optimization of Parallel DBN Based on Spark

      • Juan Yang, Shuqing He
      Pages 157-169

    10. Predicting Potential Retweeters for a Microblog on Twitter

      • Soniya Rangnani, V. Susheela Devi
      Pages 171-186

  4. Evolutionary Algorithms and Optimization

    1. Front Matter

      Pages 187-187
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    2. An Implementation of Tree-Seed Algorithm (TSA) for Constrained Optimization

      • Mustafa Servet Kıran
      Pages 189-197

    3. Utilization of Bat Algorithm for Solving Uncapacitated Facility Location Problem

      • İsmail Babaoğlu
      Pages 199-208
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Editors and Affiliations

  • School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

    Kittichai Lavangnananda, Worrawat Engchuan, Jonathan H. Chan

  • School of Computing and Informatics, Institut Teknologi Brunei, Gadong, Brunei Darussalam

    Somnuk Phon-Amnuaisuk

Bibliographic Information

  • Book Title: Intelligent and Evolutionary Systems

  • Book Subtitle: The 19th Asia Pacific Symposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings

  • Editors: Kittichai Lavangnananda, Somnuk Phon-Amnuaisuk, Worrawat Engchuan, Jonathan H. Chan

  • Series Title: Proceedings in Adaptation, Learning and Optimization

  • DOI: https://doi.org/10.1007/978-3-319-27000-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016

  • Hardcover ISBN: 978-3-319-26999-3Published: 12 November 2015

  • Softcover ISBN: 978-3-319-38743-7Published: 23 August 2016

  • eBook ISBN: 978-3-319-27000-5Published: 15 November 2015

  • Series ISSN: 2363-6084

  • Series E-ISSN: 2363-6092

  • Edition Number: 1

  • Number of Pages: XV, 429

  • Number of Illustrations: 100 b/w illustrations, 55 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery

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