An improved genetic bat algorithm for unconstrained global optimization problems

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An improved genetic bat algorithm for unconstrained global optimization problems

Metaheuristic search algorithms have been in use for quite a while to optimally solve complex searching problems with ease. Nowadays, nature inspired swarm intelligent algorithms have become quite popular due to their propensity for finding optimal solutions with agility. Genetic algorithm (GA) is s...

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Bibliographic Details
Main Authors:	Muhammad Zubair, Rehman, Kamal Z., Zamli, Abdullah, Nasser
Format:	Conference or Workshop Item
Language:	English
Published:	Association for Computing Machinery (ACM) 2020
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/28710/ http://umpir.ump.edu.my/id/eprint/28710/1/2.1%20An%20improved%20genetic%20bat%20algorithm%20for%20unconstrained.pdf

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