Fuzzy Sets Based Heuristics for Optimization

Author:   José-Luis Verdegay
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2003
Volume:   126
ISBN:  

9783642056116


Pages:   351
Publication Date:   06 December 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Fuzzy Sets Based Heuristics for Optimization


Overview

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.

Full Product Details

Author:   José-Luis Verdegay
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2003
Volume:   126
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.563kg
ISBN:  

9783642056116


ISBN 10:   3642056113
Pages:   351
Publication Date:   06 December 2010
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Soft Computing and Metaheuristics.- Fuzzy Adaptive Neighborhood Search: Examples of Application.- Branch-and-bound algorithms using fuzzy heuristics for solving large-scale flow shop scheduling problems.- A Fuzzy Adaptive Partition Algorithm (FAPA) for Global Optimization.- Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid.- Vehicle Routing Problem With Uncertain Demand at Nodes: The Bee System and Fuzzy Logic Approach.- Fuzzy Constructive Heuristics.- 2. Heuristics and Mathematical Programming.- Heuristics for Optimization: two approaches for problem resolution.- Optimization with linguistic variables.- Interactive Algorithms Using Fuzzy Concepts for Solving Mathematical Models of Real Life Optimization Problems.- Fuzzy Data Envelopment Analysis: A Credibility Approach.- Fuzzy Optimization using Simulated Annealing: An Example Set.- 3. Practical Heuristic Algorithms.- Multi-stage Supply Chain Network by Hybrid Genetic Algorithms.- Fuzzy evolutionary approach for multiobjective combinatorial optimization: application to scheduling problems.- Fuzzy Sets based Heuristics for Optimization: Multi-objective Evolutionary Fuzzy Modeling.- An Interactive Fuzzy Satisficing Method for Multiobjective Operation Planning in District Heating and Cooling Plants through Genetic Algorithms for Nonlinear 0–1 Programming.- Adaptive Hybrid Genetic Algorithm with Fuzzy Logic Controller.- 4. Applications to Real World Problems.- Finding Satisfactory Near-Optimal Solutions in Location Problems.- Route Choice Making Under Uncertainty: a Fuzzy Logic Based Approach.- A New Technique to Electrical Distribution System Load Flow Based on Fuzzy Sets.- A Fuzzy Adaptive Partitioning Algorithm (FAPA) for Global Optimization: Implementation in Environmental Site Characterization.-Capacitated Vehicle Routing Problem with Fuzzy Demand.- An Adaptive, Intelligent Control System for Slag Foaming.

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