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

Hoang Le-Minh

Thanh Sang-To

Magd Abdel Wahab

Thanh Cuong-Le

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

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