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Metaheuristics = outlines, MATLAB co...

Kaveh, Ali.

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Metaheuristics = outlines, MATLAB codes and examples /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Metaheuristics/ by Ali Kaveh, Taha Bakhshpoori.
Reminder of title:	outlines, MATLAB codes and examples /
Author:	Kaveh, Ali.
other author:	Bakhshpoori, Taha.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xii, 190 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Preliminaries and frameworks -- Artificial bee colony algorithm -- Big bang big crunch algorithm -- Teaching Learning Based Optimization Algorithm -- Imperialist Competitive Algorithm -- Cuckoo search -- Charged system search Algorithm -- Ray Optimization Algorithm -- Colliding Bodies Optimization Algorithm -- Tug-of-war optimization Algorithm -- Water Evaporation Optimization Algorithm -- Vibrating particles system algorithm -- Cyclical parthenogenesis algorithm -- Thermal exchange optimizaton algorithm.
Contained By:	Springer eBooks
Subject:	Metaheuristics. -
Online resource:	https://doi.org/10.1007/978-3-030-04067-3
ISBN:	9783030040673

Metaheuristics = outlines, MATLAB codes and examples /
Kaveh, Ali.

Metaheuristicsoutlines, MATLAB codes and examples /[electronic resource] :by Ali Kaveh, Taha Bakhshpoori. - Cham :Springer International Publishing :2019. - xii, 190 p. :ill., digital ;24 cm.

Introduction -- Preliminaries and frameworks -- Artificial bee colony algorithm -- Big bang big crunch algorithm -- Teaching Learning Based Optimization Algorithm -- Imperialist Competitive Algorithm -- Cuckoo search -- Charged system search Algorithm -- Ray Optimization Algorithm -- Colliding Bodies Optimization Algorithm -- Tug-of-war optimization Algorithm -- Water Evaporation Optimization Algorithm -- Vibrating particles system algorithm -- Cyclical parthenogenesis algorithm -- Thermal exchange optimizaton algorithm.

The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.

ISBN: 9783030040673

Standard No.: 10.1007/978-3-030-04067-3doiSubjects--Topical Terms:

2206834
Metaheuristics.

LC Class. No.: T57.84 / .K384 2019

Dewey Class. No.: 006.3

Metaheuristics = outlines, MATLAB codes and examples /
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100 1 $a Kaveh, Ali. $3 3308611
245 1 0 $a Metaheuristics $h [electronic resource] : $b outlines, MATLAB codes and examples / $c by Ali Kaveh, Taha Bakhshpoori.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xii, 190 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Preliminaries and frameworks -- Artificial bee colony algorithm -- Big bang big crunch algorithm -- Teaching Learning Based Optimization Algorithm -- Imperialist Competitive Algorithm -- Cuckoo search -- Charged system search Algorithm -- Ray Optimization Algorithm -- Colliding Bodies Optimization Algorithm -- Tug-of-war optimization Algorithm -- Water Evaporation Optimization Algorithm -- Vibrating particles system algorithm -- Cyclical parthenogenesis algorithm -- Thermal exchange optimizaton algorithm.
520 $a The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.
650 0 $a Metaheuristics. $3 2206834
650 0 $a Heuristic programming. $3 698997
650 0 $a Problem solving $x Data processing. $3 572499
650 0 $a Computer algorithms. $3 523872
650 1 4 $a Mathematical and Computational Engineering. $3 3226306
650 2 4 $a Optimization. $3 891104
650 2 4 $a Mechanical Engineering. $3 891038
650 2 4 $a Solid Construction. $3 2068352
700 1 $a Bakhshpoori, Taha. $3 3386734
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773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-04067-3
950 $a Engineering (Springer-11647)