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An Introduction to Metaheuristics for Optimization

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An Introduction to Metaheuristics for Optimization Synopsis

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies.

This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.

About This Edition

ISBN: 9783319930725
Publication date:
Author: Bastien Chopard, Marco Tomassini
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 226 pages
Series: Natural Computing Series
Genres: Artificial intelligence
Management decision making
Operational research
Optimization
Mathematical theory of computation