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Fuzzy Sets Based Heuristics for Optimization de José-Luis Verdegay

Fuzzy Sets Based Heuristics for Optimization: Studies in Fuzziness and Soft Computing, cartea 126

Editat de José-Luis Verdegay
en Limba Engleză Paperback – 6 dec 2010
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.
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Specificații

ISBN-13: 9783642056116
ISBN-10: 3642056113
Pagini: 368
Ilustrații: X, 351 p. 19 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.52 kg
Ediția:Softcover reprint of hardcover 1st ed. 2003
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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 gives a broad overview on the real practical applications that Fuzzy Sets based heuristic algorithms have.

Caracteristici

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