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An Introduction to Metaheuristics for Optimization (Natural Computing Series)
An Introduction to Metaheuristics for Optimization (Natural Computing Series)
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An Introduction to Metaheuristics for Optimization (Natural Computing Series)

An Introduction to Metaheuristics for Optimization (Natural Computing Series)

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Computer Vision

Computer Architecture

Author

Bastien Chopard

Publication

Springer

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9783319930725
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Springer
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Bastien Chopard

Bastien Chopard

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Review

I would recommend this book for students in the area of operations research, but also for students and professionals from other fields (like natural sciences or social sciences) who would like not only to apply metaheuristics to solve the problems but also to understand how they work. (Marcin Anholcer, zbMATH 1427.90001, 2020) --This text refers to the hardcover edition.

From the Back Cover

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.

--This text refers to the hardcover edition.

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