Fuzzy Sets Based Heuristics for Optimization (Studies in...

Features

• Cover Type: Hard Cover with 351 pages
• Published by: Springer
• Edition: 1st Edition July 15, 2003
• Written in: English
• ISBN 10 Number: 354000551X
• ISBN 13 Number: 978-3540005513
• Book Dimensions: 9.3 x 6.4 x 1 inches
• Weighs: 1.5 pounds

Product Description


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.

Book Info
Text shows how Fuzzy Sets and Systems can help provide robust and adaptive heuristic optimization algorithms in a variety of situations. Presents the state of the art and gives a broad overview on the real practical applications. For researchers and practitioners.

Reader Reviews
Fuzzy sets based heuristics for optimization provide a bridge between the real world and theoretical concepts an intelligent artificial system. It has become an important tool for different engineering applications. This book will appeal to senior undergraduate and graduate students in most engineering disciplines and academics, as well as some working in economics, control theory, operational research, engineering for industrial production, etc. Some contributions follow: - Fuzzy Adaptive Neighborhood Search called FANS, fuzzy set based heuristic to improve the quality of life of human beings, with didactic examples of optimization applications. I reckon that in a few years FANS will be employed in the optimization of resources in the trade and industry fields. - In the logistic field there are three very interesting studies to conjugate trajectories (trajectories shorter, quicker, more reliable, etc.) Vehicle Routing Problem with Uncertain Demand at Nodes: The Bee System and fuzzy Logic Approach, b) Capacitated Vehicle Routing Problem with Fuzzy Demand, Route Choice Making Under Uncertainty: a Fuzzy Logic Based Approach and c) Multi-stage Supply Chain Network by Hybrid Genetic Algorithms. - The contribution Fuzzy Constructive Heuristics from Heuristic Constructions would be good to replace the present techniques of comparison and estimation, called evaluated times; for example, in the calculations of costs in the cloth cuts. This would reduce the waste. - Fuzzy Evolutionary Approach for Multiobjective Combinatorial Optimization, presents an interactive algorithm for multiobjective fuzzy programming problems with the preference level from Pareto optimal solution to allow a formulation, with restrictions, of water quality and economic deal for industrial pollution management. - Very useful for operation planning techniques of district heating and cooling is the contribution whose title is: An Interactive Fuzzy Satisfycing Method for Multiobjective Operation Planning in District Heating and Cooling Plants through Genetic Algorithms for Nonlinear 0-1 Programming.