Name: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis
Price: 3104.00 ZAR
Availability: InStock
Author: Alberto Luque;Erik Cuevas;Bernardo Morales Castaneda;Beatriz Rivera
ISBN: 9783031630552

portada Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis

Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Alberto Luque;Erik Cuevas;Bernardo Morales Castaneda;Beatriz Rivera

Collection

Studies in Computational Intelligence

Year

2025

Pages

297

Format

Paperback

Dimensions

23.50 x 15.50 cm

ISBN13

9783031630552

Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis

Alberto Luque;Erik Cuevas;Bernardo Morales Castaneda;Beatriz Rivera (Author) · Springer International Publishing AG · Paperback

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Synopsis "Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis"

This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource for the analysis and evaluation of metaheuristic algorithms. It provides a foundational framework for assessing their performance, particularly in terms of the balance between exploration and exploitation, as well as their capacity to obtain optimal solutions. Collectively, these objectives contribute to advancing our understanding of metaheuristic methods and their applicability in addressing diverse and demanding optimization tasks. The materials were compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation concepts will appreciate that the techniques discussed are beyond simple theoretical tools because they have been adapted to solve significant problems that commonly arise in engineering areas.