Metaheuristic Computation: A Performance Perspective

Metaheuristic Computation: A Performance Perspective

Erik Cuevas , Primitivo Diaz , Octavio Camarena
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2021 · Английский · Мягкая обложка
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Описание

This work delves into the realm of metaheuristic computation, a vital area of study for aspiring scientists and engineers. Emphasizing performance, the authors present a thorough examination suited for both undergraduate and postgraduate learners. Readers are guided through the intricacies of various algorithms, showcasing their applications across different fields.

The text serves not just as an academic resource but as a practical guide, bridging theoretical foundations with hands-on implementation. By highlighting performance metrics and comparative analyses, it equips students with the necessary tools to tackle complex computational problems effectively. As a result, this book is invaluable for anyone looking to enhance their understanding of metaheuristic strategies in computation.

Детали книги

Формат Мягкая обложка
Страницы 284 страниц
Язык Английский
Опубликовано окт 7, 2021
Издатель Springer
ISBN-10 3030581020
ISBN-13 9783030581022

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