The Planet Optimization Algorithm (POA)
The Planet Optimization Algorithm (POA)
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main.m
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POA.m
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POAdistance.m
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README.md

Introduction

A meta-heuristic algorithm, named The Planet Optimization Algorithm (POA), inspired by Newton's gravitational law is proposed. POA simulates the motion of planets in the solar system. The Sun plays the key role in the algorithm as at the heart of search space. Two main phases, local and global search, are adopted for increasing accuracy and expanding searching space simultaneously. A Gauss distribution function is employed as a technique to enhance the accuracy of this algorithm

Contributors

Thanh Sang-To

Minh Hoang-Le

Magd Abdel Wahab

Thanh Cuong-Le

Python version

Funding Agency

the VLIR-UOS TEAM Project, VN2018TEA479A103, 'Damage assessment tools for Structural Health Monitoring of Vietnamese infrastructures' funded by the Flemish Government. 

References

Sang-To, Thanh, Minh Hoang-Le, Magd Abdel Wahab, and Thanh Cuong-Le. "An efficient Planet Optimization Algorithm for solving engineering problems." Scientific Reports 12, no. 1 (2022): 1-18.

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We provided a Matlab-based optimization package based on our novel optimization algorithm namely Planet Optimization Algorithm (POA).

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