A carnivorous plant algorithm for solving global optimization problems

Ong, Kok Meng and Ong, Pauline and Sia, Chee Kiong (2021) A carnivorous plant algorithm for solving global optimization problems. Applied Soft Computing Journal, 98. pp. 1-40. ISSN 1568-4946

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Abstract

In this study, a novel metaheuristic algorithm, namely, carnivorous plant algorithm (CPA), inspired by how the carnivorous plants adapting to survive in the harsh environment, was proposed. The CPA was first evaluated on thirty well-known benchmark functions with different characteristics and seven CEC 2017 test functions. Its convergence characteristic and computational time were analysed and compared with seven widely used metaheuristic algorithms, with the superiority was validated using the Wilcoxon signed-rank test. The applicability of the CPA was further examined on mechanical engineering design problems and a real-world challenging application of controlling the orientation of a five degree-of-freedom robotic arm. Experimental simulations demonstrated the supremacy of the CPA in solving global optimization problems.

Item Type:	Article
Uncontrolled Keywords:	Carnivorous plant algorithm; metaheuristic algorithm; optimization; population-based algorithm; robotic arm.
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA76.75-76.765 Computer software
Divisions:	Faculty of Mechanical and Manufacturing Engineering > Department of Manufacturing Engineering
Depositing User:	Mr. Abdul Rahim Mat Radzuan
Date Deposited:	22 Aug 2021 07:42
Last Modified:	22 Aug 2021 07:42
URI:	http://eprints.uthm.edu.my/id/eprint/929

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