An idea based on plant root growth for numerical optimization

Authors:
Xiangbo Qi;Yunlong Zhu;Hanning Chen;Dingyi Zhang;Ben Niu
Affiliations:
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China,University of Chinese Academy of Sciences, Beijing, China;Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China;Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China;Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China;College of Management, Shenzhen University, Shenzhen, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

Citing 3
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Abstract

Most bio-inspired algorithms simulate the behaviors of animals. This paper proposes a new plant-inspired algorithm named Root Mass Optimization (RMO). RMO simulates the root growth behavior of plants. Seven well-known benchmark functions are used to validate its optimization effect. We compared RMO with other existing animal-inspired algorithms, including artificial bee colony (ABC) and particle swarm optimization (PSO). The experimental results show that RMO outperforms other algorithms on most benchmark functions. RMO provides a new reference for solving optimization problems.