Computational Intelligence

eBook
Editor(s):
Hisao Ishibuchi
Volume(s):
2
Published:
2015
Format:
Adobe Reader PDF
Platforms:
Windows *SE+, Mac OS X+, Linux
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Book Contents

Computational intelligence is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias.

Computational intelligence is a rapidly growing research field including a wide variety of problem-solving techniques inspired by nature. Traditionally computational intelligence consists of three major research areas: Neural Networks, Fuzzy Systems, and Evolutionary Computation. Neural networks are mathematical models inspired by brains.

Neural networks have massively parallel network structures with many neurons and weighted connections. Whereas each neuron has a simple input-output relation, a neural network with many neurons can realize a highly non-linear complicated mapping. Connection weights between neurons can be adjusted in an automated manner by a learning algorithm to realize a non-linear mapping required in a particular application task.

Fuzzy systems are mathematical models proposed to handle inherent fuzziness in natural language. For example, it is very difficult to mathematically define the meaning of “cold” in everyday conversations such as “It is cold today” and “Can I have cold water”. The meaning of “cold” may be different in a different situation. Even in the same situation, a different person may have a different meaning. Fuzzy systems offer a mathematical mechanism to handle inherent fuzziness in natural language. As a result, fuzzy systems have been successfully applied to real-world problems by extracting linguistic knowledge from human experts in the form of fuzzy IF-THEN rules.

Evolutionary computation includes various population-based search algorithms inspired by evolution in nature. Those algorithms usually have the following three mechanisms: fitness evaluation to measure the quality of each solution, selection to choose good solutions from the current population, and variation operators to generate offspring from parents. Evolutionary computation has high applicability to a wide range of optimization problems with different characteristics since it does not need any explicit mathematical formulations of objective functions. For example, simulation-based fitness evaluation is often used in evolutionary design. Subjective fitness evaluation by a human user is also often used in evolutionary art and music.

These volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers."

Professor Hisao Ishibuchi received the BS and MS degrees in precision mechanics from Kyoto University, Japan, in 1985 and 1987, respectively. He received the Ph. D. degree from Osaka Prefecture University, Japan, in 1992. Since 1987, he has been with Osaka Prefecture University, Japan, where he was a research associate (1987-1993), an assistant professor (1993), and an associate professor (1994-1999). He is currently a professor since 1999. He is also the Head of Computational Intelligence Research Center, Osaka Prefecture University since 2006. His research interests include evolutionary multiobjective optimization, fuzzy rule-based classifiers, multiobjective genetic fuzzy systems, data mining, and multi-agent systems. He received GECCO 2004 Best Paper Award in the Genetic Algorithm Track, ISIS 2005 Outstanding Paper Award, EFS 2006 Best Runner-Up Paper Award, HIS-NCEI 2006 Best Paper Award, GECCO 2007 Competition First Prize, 2007 JSPS PRIZE from the Japan Society for the Promotion of Science, and GEFS 2008 Best Paper Finalist Award. He is the IEEE CIS Fuzzy Systems Technical Committee Chair (2008-) and a Vice-President of Japan Society for Fuzzy Theory and Intelligent Informatics (2007-2009). He is also an associate editor of IEEE Trans. on SMC: Part B (2002-), IEEE Trans. on Fuzzy Systems (2004-), IEEE CI Magazine (2005-), and IEEE Trans. on Evolutionary Computation (2007-). He was an Area Chair of IJCNN 1997 and FUZZ-IEEE 1998, a Technical Co-Chair of FUZZ-IEEE 2006, a Program Co-Chair of EMO 2007, an Area Chair of IFSA 2009 and FUZZ-IEEE 2009, and the Program Chair for CEC 2010"

Table of Contents (23 Chapters)
  • 1. The History, Philosophy and Development of Computational Intelligence (How a Simple Tune Became a Monster Hit)

    James C. Bezdek
      
    Price : US$7.50
    Volume : 1
  • 2. History And Philosophy Of Neural Networks

    J. Mark Bishop
      
    Price : US$22.50
    Volume : 1
  • 3. Recurrent Neural Networks 

    Emilio Del-Moral-Hernandez, Magno T. M. Silva
      
    Price : US$15.00
    Volume : 1
  • 4. Adaptive Dynamic Programming and Reinforcement Learning

    Derong Liu and Ding Wang
      
    Price : US$15.00
    Volume : 1
  • 5. Associative Learning

    Hava T. Siegelmann, Robert Kozma
      
    Price : US$7.50
    Volume : 1
  • 6. Kernel Models and Support Vector Machines

    Kazushi Ikeda
      
    Price : US$7.50
    Volume : 1
  • 7. Design And Tuning Of Fuzzy Systems

    Plamen Angelov, José Antonio Iglesias
      
    Price : US$15.00
    Volume : 1
  • 8. Fuzzy Data Analysis

    Sato-Ilic, Mika
      
    Price : US$15.00
    Volume : 1
  • 9. Introduction to Interval Type-2 Fuzzy Logic Systems

    Hani Hagras
      
    Price : US$15.00
    Volume : 1
  • 10. Rough Set Approximations: A Concept Analysis Point Of View 

    Yiyu Yao
      
    Price : US$7.50
    Volume : 1
  • 11. Evaluating The Evolutionary Algorithms - Classical Perspectives And Recent Trends

    Swagatam Das
      
    Price : US$15.00
    Volume : 1
  • 12. A General Framework for Evolutionary Algorithms

    Kenneth De Jong
      
    Price : US$7.50
    Volume : 2
  • 13. Evolutionary Multi-Objective Optimization

    Kalyanmoy Deb
      
    Price : US$15.00
    Volume : 2
  • 14. Memetic Algorithms

    Minh Nghia Le, Ferrante Neri, Yew Soon Ong
      
    Price : US$15.00
    Volume : 2
  • 15. Swarm Intelligence

    Xiaodong Li
      
    Price : US$15.00
    Volume : 2
  • 16. Artificial Immune Algorithms in Learning and Optimization

    Emma Hart and Kevin Sim
      
    Price : US$15.00
    Volume : 2
  • 17. Hybrid Computational Intelligence 

    Alberto Fernández, Rafael Alcalá, José Manuel Benítez, Francisco Herrera
      
    Price : US$15.00
    Volume : 2
  • 18. Computational Intelligence and Medical Applications

    Yutaka HATA
      
    Price : US$15.00
    Volume : 2
  • 19. Computational Intelligence and Smart Grid

    Thillainathan Logenthiran, Dipti Srinivasan
      
    Price : US$15.00
    Volume : 2
  • 20. Computational Intelligence and Bioinformatics

    Mei Liu, Xue-wen Chen
      
    Price : US$15.00
    Volume : 2
  • 21. Computational Neuroscience

    Minami Ito
      
    Price : US$7.50
    Volume : 2
  • 22. Neuromorphic Engineering 

    E. Neftci, C. Posch, E. Chicca
      
    Price : US$15.00
    Volume : 2
  • 23. Brain-Machine Interface 

    Mikhail Lebedev
      
    Price : US$15.00
    Volume : 2
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