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An introduction to metaheuristics fo...

Chopard, Bastien.

An introduction to metaheuristics for optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	An introduction to metaheuristics for optimizationby 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$q(electronic bk.)

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$q(electronic bk.)

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

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

An introduction to metaheuristics for optimization
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245 1 3 $a An introduction to metaheuristics for optimization $h [electronic resource] / $c by Bastien Chopard, Marco Tomassini.
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300 $a xii, 226 p. : $b ill., digital ; $c 24 cm.
490 1 $a Natural computing series, $x 1619-7127
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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650 2 4 $a Theory of Computation. $3 274475
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