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Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems

  • Hiroshi Sato
  • Saori Iwanaga
  • Akira Ishii
Conference proceedings IES 2019

Part of the Proceedings in Adaptation, Learning and Optimization book series (PALO, volume 12)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Shunsuke Hatadani, Yuki Ohira, Akira Ishii, Yasuko Kawahata
    Pages 46-51
  3. Mizuki Kambe, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura
    Pages 67-78
  4. Kundo Lee, Tomoki Hamagami
    Pages 79-92
  5. Xiaotong Nie, Motoaki Hiraga, Kazuhiro Ohkura
    Pages 118-129
  6. Ekasit Phermphoonphiphat, Tomohiko Tomita, Masayuki Numao, Ken-ichi Fukui
    Pages 130-141
  7. Takayuki Mizuno, Takaaki Ohnishi, Tsutomu Watanabe
    Pages 194-202
  8. Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama
    Pages 216-227
  9. Yohei Okugawa, Masao Kubo, Hiroshi Sato, Shun Sakai
    Pages 253-264
  10. Akira Ishii, Daiki Nishiyama, Yasuyuki Suzuki
    Pages 265-271
  11. Back Matter
    Pages 285-286

About these proceedings

Introduction

This book presents selected papers from the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2019), which was held in Tottori, Japan, on December 6–8, 2019.

Today, various types of intelligent system can be found everywhere. However, none of them can be developed or understood from only one perspective. As such, this book collects unique ways of thinking about intelligent systems.

It discusses evolutionary and complex adaptive systems, which have been useful approaches for tackling intelligent systems. It also examines the recent developments in the field of artificial intelligence that are driving research on intelligent systems.

Addressing topics related to intelligent transport systems, machine learning and neural networks, data science and decision analytics, evolutionary and nature-inspired computation, and agents and complex systems, this book is a valuable resource for researchers and practitioners wanting to develop or understand intelligent and evolutionary systems.

 

Keywords

Intelligent Systems Evolutionary Systems Nature Inspired Computational Systems IES IES2019

Editors and affiliations

  • Hiroshi Sato
    • 1
  • Saori Iwanaga
    • 2
  • Akira Ishii
    • 3
  1. 1.Department of Computer ScienceNational Defense Academy of JapanYokosuka-shiJapan
  2. 2.Faculty of Maritime Safety TechnologyJapan Coast Guard AcademyWakabachoJapan
  3. 3.Department of Applied Mathematics and PhysicsTottori UniversityTottoriJapan

Bibliographic information

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