An Improved Group Search Optimization Algorithm
[1]AN Xiao-wei,SU Hong-sheng.An Improved Group Search Optimization Algorithm[J].Journal of Zhengzhou University (Engineering Science),2015,36(02):105-109.[doi:10.3969/ j. issn.1671 -6833.2015.02.023]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36卷
Number of periods:
2015 02
Page number:
105-109
Column:
Public date:
2015-04-30
- Title:
- An Improved Group Search Optimization Algorithm
- CLC:
- TM301.6
- DOI:
- 10.3969/ j. issn.1671 -6833.2015.02.023
- Abstract:
- Group Search Optimization (GSO) is a swarm intelligence approach inspired by animal searchingbehavior and group living theory. It is simple and efficient , and easy to implement. The searching mode of thescrounger is oversimplified , so it falls into local optimum easily. In order to enhance its convergence speed andprecision，the improved Group Search Optimization ( IGS0) is proposed. Inheriting the strategy of producer-scrounger of GSO，IGSO introduces the strategy of the Antificial Fish Swarm (AFS) algorithm to the behaviorof the scrounger. By introducing prey , fellow , swarm and leap of the AFS algorithm ， searching forms is diver-sified，as well as the best individuals of group and best groups of population can be considered，IGS0 can ef-ectively avoid the local optimum. Six benchmark functions are used to evaluate the performance of two algo-rithms..Experimental results.show that ICSO.is able to achieve better results than standard GSo.
- References:
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