Recent Advances in Memetic Algorithms / Edition 1

Recent Advances in Memetic Algorithms / Edition 1

by William E. Hart
     
 

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ISBN-10: 3642061761

ISBN-13: 9783642061769

Pub. Date: 12/15/2010

Publisher: Springer Berlin Heidelberg

Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures

Overview

Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.

Product Details

ISBN-13:
9783642061769
Publisher:
Springer Berlin Heidelberg
Publication date:
12/15/2010
Series:
Studies in Fuzziness and Soft Computing Series, #166
Edition description:
Softcover reprint of hardcover 1st ed. 2005
Pages:
410
Product dimensions:
0.86(w) x 6.14(h) x 9.21(d)

Table of Contents

Introduction to Memetic Algorithms.- Applications of Memetic Algorithms.- Methodological Aspects of Memetic Algorithms.- Related Search Technologies.

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