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Fuzzy Sets Based Heuristics for Optimization

  • Book
  • © 2003

Overview

Editors:
  1. José-Luis Verdegay

    1. Dept. Computer Science and A.I., University of Granada, Granada, Spain

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  • Recent research on heuristic optimization algorithms
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 126)

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Table of contents (22 chapters)

  1. Front Matter

    Pages N1-X
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  2. Soft Computing and Metaheuristics

    1. Fuzzy Adaptive Neighborhood Search: Examples of Application

      • Armando Blanco, David Pelta, José L. Verdegay
      Pages 1-20

    2. Branch-and-bound algorithms using fuzzy heuristics for solving large-scale flow-shop scheduling problems

      • Jinliang Cheng, Hiroshi Kise, George Steiner, Paul Stephenson
      Pages 21-35

    3. A Fuzzy Adaptive Partitioning Algorithm (FAPA) for Global Optimization

      • Melek Basak Demirhan, Linet Özdamar
      Pages 37-47

    4. Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid

      • Natalio Krasnogor, David A. Pelta
      Pages 49-66

    5. Vehicle Routing Problem With Uncertain Demand at Nodes: The Bee System and Fuzzy Logic Approach

      • Panta Lučić, Dušan Teodorović
      Pages 67-82

    6. Fuzzy Constructive Heuristics

      • José A. Moreno Pérez, J. Marcos Moreno Vega
      Pages 83-96

  3. Heuristics and Mathematical Programming

    1. Heuristics for Optimization: two approaches for problem resolution

      • J. M. Cadenas, M. C. Garrido, F. Jimenez
      Pages 97-111

    2. Optimization with linguistic variables

      • Christer Carlsson, Robert Fullér
      Pages 113-121

    3. Interactive Algorithms Using Fuzzy Concepts for Solving Mathematical Models of Real Life Optimization Problems

      • C. Mohan, S. K. Verma
      Pages 123-140

    4. Fuzzy Data Envelopment Analysis: A Credibility Approach

      • Saowanee Lertworasirikul, Shu-Cherng Fang, Jeffrey A. Joines, Henry L. W. Nuttle
      Pages 141-158

    5. Fuzzy Optimization using Simulated Annealing: An Example Set

      • Rita Almeida Ribeiro, Leonilde Rocha Varela
      Pages 159-180

  4. Practical Heuristic Algorithms

    1. Multi-stage Supply Chain Network by Hybrid Genetic Algorithms

      • Mitsuo Gen, Admi Syarif
      Pages 181-196

    2. Fuzzy Evolutionary Approach for Multiobjective Combinatorial Optimization: Application to Scheduling Problems

      • Imed Kacem, Slim Hammadi, Pierre Borne
      Pages 197-219

    3. Fuzzy Sets based Heuristics for Optimization: Multi-objective Evolutionary Fuzzy Modeling

      • Fernando Jiménez, Antonio F. Gómez Skarmeta, Gracia Sánchez, José M. Cadenas
      Pages 221-234

    4. An Interactive Fuzzy Satisficing Method for Multiobjective Operation Planning in District Heating and Cooling Plants through Genetic Algorithms for Nonlinear 0–1 Programming

      • Masatoshi Sakawa, Kosuke Kato, Satoshi Ushiro, Mare Inaoka
      Pages 235-249

    5. Adaptive Hybrid Genetic Algorithm with Fuzzy Logic Controller

      • YoungSu Yun, Mitsuo Gen
      Pages 251-263

  5. Applications to Real World Problems

    1. Finding Satisfactory Near-Optimal Solutions in Location Problems

      • María J. Canós, Carlos Ivorra, Vicente Liern
      Pages 265-276

    2. Route Choice Making Under Uncertainty: a Fuzzy Logic Based Approach

      • Vincent Henn
      Pages 277-292

    3. A New Technique to Electrical Distribution System Load Flow Based on Fuzzy Sets

      • Carlos A. F. Murari, Marcelo A. Pereira, Marcelo M. P. Lima
      Pages 293-306
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Keywords

About this book

The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.

Editors and Affiliations

  • Dept. Computer Science and A.I., University of Granada, Granada, Spain

    José-Luis Verdegay

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