Author(s)

Shihua Luo, Zuchang Zhong*

Affiliation(s)

School of Business, Guangdong University of Foreign Studies, Guangzhou 510420, China

Corresponding Author

Zuchang Zhong, Professor, School of Business, Guangdong University of Foreign Studies, China. Address to No.2 North Baiyuan Avenue, Baiyun District Guangzhou, China.  Email: zhongzuc@163.com

ABSTRACT

The relationship between the number and size of retail stores and the optimization ability of intelligent algorithms is analyzed by experiments. The location coordinates of retail stores are randomly generated by intelligent algorithm, and the location model with revenue as objective function is constructed. The numerical examples of chaotic-enhanced fruit fly optimization algorithm and particle swarm optimization algorithm are designed. The results show that under the same constraints, with the increase of the number of retail stores, chaotic-enhanced fruit fly optimization algorithm and particle swarm optimization algorithm show different optimization capabilities. That is to say, the relationship between the number and size of retail stores and the optimization effect of intelligent algorithms is not stable: when the number of retail stores is small or medium-sized, theparticle swarm optimization algorithmhas strong optimization ability; but when the number of retail stores continues to increase sharply, the chaotic-enhanced fruit fly optimization algorithm displays its prominent optimization ability.

KEYWORDS

New Retail concept, New Retail distribution center, Chaotic-enhanced Fruit Fly Optimization Algorithm, Particle Swarm Optimization, intelligent algorithms.

CITE THIS PAPER

Luo Shihua, Zhong Zuchang. Comparison of intelligent algorithms of new retail distribution center. Eurasia Journal of Science and Technology. 2020, 2(1): 11-19.

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