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An introduction to metaheuristics for optimization

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to metaheuristics for optimization/ by Bastien Chopard, Marco Tomassini.
Author:	Chopard, Bastien.
other author:	Tomassini, Marco.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xii, 226 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Mathematical optimization. -
Online resource:	https://doi.org/10.1007/978-3-319-93073-2
ISBN:	9783319930732

An introduction to metaheuristics for optimization
Chopard, Bastien.

An introduction to metaheuristics for optimization[electronic resource] /by Bastien Chopard, Marco Tomassini. - Cham :Springer International Publishing :2018. - xii, 226 p. :ill., digital ;24 cm. - Natural computing series,1619-7127. - Natural computing series..

Problems, Algorithms, Computational Complexity -- Search Space -- Tabu Search -- Simulated Annealing -- Ant Colony Optimization (ACO) -- Non-PSO Optimization -- Firefly Algorithm, Cuckoo Algorithm, Levy Flights -- Evolutionary Algorithms: Foundations -- Evolutionary Algorithms: Advanced -- Phase Transition in Optimization Problems -- Performance and Limitations of Metaheuristics -- Statistical Analysis of Research Spaces.

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.

ISBN: 9783319930732

Standard No.: 10.1007/978-3-319-93073-2doiSubjects--Topical Terms:

527675
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

An introduction to metaheuristics for optimization
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300 $a xii, 226 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Problems, Algorithms, Computational Complexity -- Search Space -- Tabu Search -- Simulated Annealing -- Ant Colony Optimization (ACO) -- Non-PSO Optimization -- Firefly Algorithm, Cuckoo Algorithm, Levy Flights -- Evolutionary Algorithms: Foundations -- Evolutionary Algorithms: Advanced -- Phase Transition in Optimization Problems -- Performance and Limitations of Metaheuristics -- Statistical Analysis of Research Spaces.
520 $a 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.
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