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This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
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This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
The book should be useful for advanced undergraduates in computer science and engineering, as well as for students and researchers from other disciplines looking for a concise and clear introduction to metaheuristic methods for optimization.
An Introduction to Metaheuristics for Optimization
Book by Bastien Chopard and Marco Tomassini
5/5 · Scribd
The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. ... Google Books
Originally published: November 2, 2018
Authors: Marco Tomassini and Bastien Chopard
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This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
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This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
In stock
Nov 13, 2018 · This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, ...
Oct 22, 2024 · This algorithm simulated the movement of an insect swarm or bird flock to find the global optimum of the problem.
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The document provides an introduction to metaheuristics for optimization. It begins with an overview of computational complexity and analyzing algorithms.
The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems.
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An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences.