|Table of Contents|

Impact of population size on bat algorithms performance(PDF)

《纺织高校基础科学学报》[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2019年03期
Page:
312-316
Research Field:
基础科学
Publishing date:

Info

Title:
Impact of population size on bat algorithms performance
Author(s):
 GUO Xiaoxue HE Xingshi LUO Dong
 School of Science, Xi’an Polytechnic University, Xi’an 710048, China
Keywords:
 bat algorithm population size dimension convergence time global search capability
PACS:
TP 301.6
DOI:
10.13338/j.issn.1006-8341.2019.03.014
Abstract:
In order to optimize the performance of the bat algorithm, and improve the algorithm’s own optimization ability,the effect of performance on population size was analyzed from the bat algorithm convergence speed, solution accuracy, global search ability and convergence time. Eight classical test functions were used to simulate different population sizes. The results shows that when the population size of single-peak and multi-peak problems is 70 and 170,the algorithm has the best performance.

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Last Update: 2019-10-07