The Pine Cone Optimization Algorithm (PCOA)

The present study introduces a novel nature-inspired optimizer called the Pine Cone Optimization algorithm (PCOA) for solving science and engineering problems. PCOA is designed based on the different mechanisms of pine tree reproduction, including pollination and pine cone dispersal by gravity and a...

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Main Authors: Mahdi Valikhan Anaraki, Saeed Farzin
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Biomimetics
Subjects:
Online Access:https://www.mdpi.com/2313-7673/9/2/91
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author Mahdi Valikhan Anaraki
Saeed Farzin
author_facet Mahdi Valikhan Anaraki
Saeed Farzin
author_sort Mahdi Valikhan Anaraki
collection DOAJ
description The present study introduces a novel nature-inspired optimizer called the Pine Cone Optimization algorithm (PCOA) for solving science and engineering problems. PCOA is designed based on the different mechanisms of pine tree reproduction, including pollination and pine cone dispersal by gravity and animals. It employs new and powerful operators to simulate the mentioned mechanisms. The performance of PCOA is analyzed using classic benchmark functions, CEC017 and CEC2019 as mathematical problems and CEC2006 and CEC2011 as engineering design problems. In terms of accuracy, the results show the superiority of PCOA to well-known algorithms (PSO, DE, and WOA) and new algorithms (AVOA, RW_GWO, HHO, and GBO). The results of PCOA are competitive with state-of-the-art algorithms (LSHADE and EBOwithCMAR). In terms of convergence speed and time complexity, the results of PCOA are reasonable. According to the Friedman test, PCOA’s rank is 1.68 and 9.42 percent better than EBOwithCMAR (second-best algorithm) and LSHADE (third-best algorithm), respectively. The authors recommend PCOA for science, engineering, and industrial societies for solving complex optimization problems.
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spelling doaj.art-40e290e18ffa4053b74927fa5bf5bb0e2024-02-23T15:09:05ZengMDPI AGBiomimetics2313-76732024-02-01929110.3390/biomimetics9020091The Pine Cone Optimization Algorithm (PCOA)Mahdi Valikhan Anaraki0Saeed Farzin1Department of Water Engineering and Hydraulics Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, IranDepartment of Water Engineering and Hydraulics Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, IranThe present study introduces a novel nature-inspired optimizer called the Pine Cone Optimization algorithm (PCOA) for solving science and engineering problems. PCOA is designed based on the different mechanisms of pine tree reproduction, including pollination and pine cone dispersal by gravity and animals. It employs new and powerful operators to simulate the mentioned mechanisms. The performance of PCOA is analyzed using classic benchmark functions, CEC017 and CEC2019 as mathematical problems and CEC2006 and CEC2011 as engineering design problems. In terms of accuracy, the results show the superiority of PCOA to well-known algorithms (PSO, DE, and WOA) and new algorithms (AVOA, RW_GWO, HHO, and GBO). The results of PCOA are competitive with state-of-the-art algorithms (LSHADE and EBOwithCMAR). In terms of convergence speed and time complexity, the results of PCOA are reasonable. According to the Friedman test, PCOA’s rank is 1.68 and 9.42 percent better than EBOwithCMAR (second-best algorithm) and LSHADE (third-best algorithm), respectively. The authors recommend PCOA for science, engineering, and industrial societies for solving complex optimization problems.https://www.mdpi.com/2313-7673/9/2/91optimizationnature-inspiredpine treepine conemathematical benchmark functionsengineering problems
spellingShingle Mahdi Valikhan Anaraki
Saeed Farzin
The Pine Cone Optimization Algorithm (PCOA)
Biomimetics
optimization
nature-inspired
pine tree
pine cone
mathematical benchmark functions
engineering problems
title The Pine Cone Optimization Algorithm (PCOA)
title_full The Pine Cone Optimization Algorithm (PCOA)
title_fullStr The Pine Cone Optimization Algorithm (PCOA)
title_full_unstemmed The Pine Cone Optimization Algorithm (PCOA)
title_short The Pine Cone Optimization Algorithm (PCOA)
title_sort pine cone optimization algorithm pcoa
topic optimization
nature-inspired
pine tree
pine cone
mathematical benchmark functions
engineering problems
url https://www.mdpi.com/2313-7673/9/2/91
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