The palm tree optimization: Algorithm and applications

Article type: Research Article

Authors: Padmanaban, K.^{a; *} | Shunmugalatha, A.^{b; 1}

Affiliations: [a] Department of Electrical and Electronics Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, India | [b] Department of Electrical and Electronics Engineering, Velammal College of Engineering and Technology, Madurai, Tamil Nadu, India

Correspondence: [*] Corresponding author. K. Padmanaban, Department of Electrical and Electronics Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, 630003 Tamil Nadu, India. E-mail: padupoi@gmail.com; ORCID: https://orcid.org/0000-0003-0985-2034.

Note: [1] ORCID: https://orcid.org/0000-0002-9322-3654.

Abstract: A novel metaheuristic algorithm has been presented based on the physical significance of palm tree leaves and petioles, which can themselves water and fertilize with their unique architecture. Palm tree leaves collect almost all the raindrops that fall on the tree, which drags the nutrient-rich dropping of crawlers and birds that inhabit it and funnel them back to the palm tree’s roots. The proposed Palm Tree Optimization (PTO) algorithm is based on two main stages of rainwater before it reaches the trunk. Stage one is that the rainwater drops search for petioles in the local search space of a particular leaf, and stage two involves that the rainwater drops after reaching the petioles search for trunk to funnel back to the root along with nutrients. The performance of PTO in searching for global optima is tested on 33 Standard Benchmark Functions (SBF), 29 constrained optimization problems from IEEE-CEC2017 and real-world optimization problems from IEEE-CEC2011 competition especially for testing the evolutionary algorithms. Mathematical benchmark functions are classified into six groups as unimodal, multimodal, plate & valley-shaped, steep ridges, hybrid functions and composition functions which are used to check the exploration and exploitation capabilities of the algorithm. The experimental results prove the effectiveness of the proposed algorithm with better search ability over different classes of benchmark functions and real-world applications.

Keywords: PTO-palm tree optimization, exploration, exploitation, petioles, crankshaft

DOI: 10.3233/JIFS-222413

Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 1, pp. 1357-1385, 2023