Metaheuristics: Progress as Real Problem Solvers / Edition 1

Metaheuristics: Progress as Real Problem Solvers / Edition 1

by Toshihide Ibaraki
     
 

ISBN-10: 0387253823

ISBN-13: 9780387253824

Pub. Date: 05/06/2005

Publisher: Springer US

Our globalized world brings us increasing complexity and many computationally hard problems. Metaheuristics are mathematical optimization methods that have become a powerful answer to many of these difficult problems. As a growing set of robust methods, Metaheuristics is producing effective algorithms that compute approximate solutions of high quality in realistic…  See more details below

Overview

Our globalized world brings us increasing complexity and many computationally hard problems. Metaheuristics are mathematical optimization methods that have become a powerful answer to many of these difficult problems. As a growing set of robust methods, Metaheuristics is producing effective algorithms that compute approximate solutions of high quality in realistic computational time.

Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field. Included are an invited paper by F. Glover and G. Kochenberger, which discusses the concept of Metaheuristic agent processes, and a tutorial paper by M.G.C. Resende and C.C. Ribeiro discussing GRASP with path-relinking. Other papers discuss problem-solving approaches to timetabling, automated planograms, elevators, space allocation, shift design, cutting stock, flexible shop scheduling, colorectal cancer and cartography. A final group of methodology papers clarify various aspects of Metaheuristics from the computational view point.

The volume's objective is to consolidate works in operations research, management science, artificial intelligence, computer science, and related fields to further the understanding of basic principles and the developing domain of Metaheuristics. This includes genetic algorithms, simulated annealing, tabu search, evolutionary computation, greedy randomized adaptive search procedures (GRASP), scatter search, ant system, variable neighborhood search, guided local search, iterated local search, noising methods, threshold accepting, memetic algorithms, neural networks, and other hybrid and/or variant approaches forsolving hard combinatorial problems.

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Product Details

ISBN-13:
9780387253824
Publisher:
Springer US
Publication date:
05/06/2005
Series:
Operations Research/Computer Science Interfaces Series, #32
Edition description:
2005
Pages:
414
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

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