Design of Modern Heuristics: Principles and Application / Edition 1

Design of Modern Heuristics: Principles and Application / Edition 1

by Franz Rothlauf
     
 

Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches.

The author takes a different approach in this textbook by focusing on the

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Overview

Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches.

The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems.

This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.

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Product Details

ISBN-13:
9783540729617
Publisher:
Springer Berlin Heidelberg
Publication date:
07/25/2011
Series:
Natural Computing Series
Edition description:
2011
Pages:
267
Product dimensions:
6.14(w) x 9.21(h) x 0.69(d)

Table of Contents

Introduction.- Optimization Problems.- Optimization Methods.- Design of Modern Heuristics.- Modern Heuristics for the Optimal Communication Spanning Tree Problem.- Modern Heuristics for Automated Programming.- Summary and Conclusions.- References.- Nomenclature.- Glossary.- Index

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