A new metaheuristic optimization based on K-means
A new metaheuristic optimization based on K-means
boundary_condition_KO.m
25-03-2023 22:03:50
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drift_control.m
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Get_Functions_details.m
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KO_optimizer_Main_23_Functions.m
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levy_fun_KO.m
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README.md

Introduction

We proposed a new metaheuristic optimization algorithm named K-Means Optimizer (KO) to solve a wide range of optimization problems from numerical functions to real-design challenges. First, the centroid vectors of clustering regions are established at each iteration using K-Means algorithm, then KO proposes two movement strategies to create a balance between the ability of exploitation and exploration. 

The Matlab source codes of KO optimized algorithm is included

Contributors

Hoang Le-Minh

Thanh Sang-To

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

Minh, Hoang-Le, Thanh Sang-To, Magd Abdel Wahab, and Thanh Cuong-Le. "A new metaheuristic optimization based on K-means clustering algorithm and its application for structural damage identification in a complex 3D concrete structure." Knowledge-Based Systems (2022): 109189. https://doi.org/10.1016/j.knosys.2022.109189

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We provided a Matlab-based optimization package based on our novel optimization algorithm namely K-Means Optimizer (KO).

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