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Computational Intelligence in Optimization

Applications and Implementations

  • Book
  • © 2010

Overview

Editors:
  1. Yoel Tenne

    1. Department of Mechanical Engineering and Science-Faculty of Engineering, Kyoto University, Kyoto, Japan

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    You can also search for this editor in PubMed   Google Scholar

  2. Chi-Keong Goh

    1. Advanced Technology Centre, Rolls-Royce Singapore Pte Ltd, Singapore

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • State of the art of applications and implementations of computational intelligence in optimization
  • Provides both theoretical treatments and real-world insights gained by experience in computational intelligence in optimization
  • Comprehensive reference for researchers, practitioners and graduate students interested in both the theory and practice of using computational intelligence in real-world applications

Part of the book series: Adaptation, Learning, and Optimization (ALO, volume 7)

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Table of contents (16 chapters)

  1. Front Matter

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  2. New Hybrid Intelligent Systems to Solve Linear and Quadratic Optimization Problems and Increase Guaranteed Optimal Convergence Speed of Recurrent ANN

    • Otoni Nóbrega Neto, Ronaldo R. B. de Aquino, Milde M. S. Lira
    Pages 1-26

  3. A Novel Optimization Algorithm Based on Reinforcement Learning

    • Janusz A. Starzyk, Yinyin Liu, Sebastian Batog
    Pages 27-47

  4. The Use of Opposition for Decreasing Function Evaluations in Population-Based Search

    • Mario Ventresca, Shahryar Rahnamayan, Hamid Reza Tizhoosh
    Pages 49-71

  5. Search Procedure Exploiting Locally Regularized Objective Approximation. A Convergence Theorem for Direct Search Algorithms

    • Marek Bazan
    Pages 73-103

  6. Optimization Problems with Cardinality Constraints

    • Rubén Ruiz-Torrubiano, Sergio García-Moratilla, Alberto Suárez
    Pages 105-130

  7. Learning Global Optimization Through a Support Vector Machine Based Adaptive Multistart Strategy

    • Jayadeva, Sameena Shah, Suresh Chandra
    Pages 131-154

  8. Multi-Objective Optimization Using Surrogates

    • Ivan Voutchkov, Andy Keane
    Pages 155-175

  9. A Review of Agent-Based Co-Evolutionary Algorithms for Multi-Objective Optimization

    • RafaÅ‚ Dreżewski, Leszek Siwik
    Pages 177-209

  10. A Game Theory-Based Multi-Agent System for Expensive Optimisation Problems

    • Abdellah Salhi, Özgun Töreyen
    Pages 211-232

  11. Optimization with Clifford Support Vector Machines and applications

    • N. Arana-Daniel, C. López-Franco, E. Bayro-Corrochano
    Pages 233-262

  12. A Classification method based on principal component analysis and differential evolution algorithm applied for prediction diagnosis from clinical EMR heart data sets

    • Pasi Luukka, Jouni Lampinen
    Pages 263-283

  13. An Integrated Approach to Speed Up GA-SVM Feature Selection Model

    • Tianyou Zhang, Xiuju Fu, Rick Siow Mong Goh, Chee Keong Kwoh, Gary Kee Khoon Lee
    Pages 285-298

  14. Computation in Complex Environments;

    • Kees Pieters
    Pages 299-324

  15. Project Scheduling: Time-Cost Tradeoff Problems

    • Sanjay Srivastava, Bhupendra Pathak, Kamal Srivastava
    Pages 325-357

  16. Systolic VLSI and FPGA Realization of Artificial Neural Networks

    • Pramod Kumar Meher
    Pages 359-380

  17. Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers

    • Jekanthan Thangavelautham, Paul Grouchy, Gabriele M. T. D’Eleuterio
    Pages 381-412
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Keywords

About this book

This volume presents a collection of recent studies covering the spectrum of computational intelligence applications with emphasis on their application to challenging real-world problems. Topics covered include: Intelligent agent-based algorithms, Hybrid intelligent systems, Cognitive and evolutionary robotics, Knowledge-Based Engineering, fuzzy sets and systems, Bioinformatics and Bioengineering, Computational finance and Computational economics, Data mining, Machine learning, and Expert systems. "Computational Intelligence in Optimization" is a comprehensive reference for researchers, practitioners and advanced-level students interested in both the theory and practice of using computational intelligence in real-world applications.

Editors and Affiliations

  • Department of Mechanical Engineering and Science-Faculty of Engineering, Kyoto University, Kyoto, Japan

    Yoel Tenne

  • Advanced Technology Centre, Rolls-Royce Singapore Pte Ltd, Singapore

    Chi-Keong Goh

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