Homonuclear Molecules Optimization (HMO)

HMO is a new meta-heuristic algorithm.

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HMO is inspired by the arrangement of electrons around atoms given the Bohr atomic model and the structure of homonuclear molecules. This algorithm is based on creating the initial population of a set of atoms in the search space and the electrons associated with each atom (searching agents) given the quantum numbers. In each iteration, the best electron of each atom is selected as the new location of the nucleus, and a number of atoms move toward the atom with the best solution to form a homonuclear molecule.

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Amin Mahdavi-Meymand (2026). Homonuclear Molecules Optimization (HMO) (https://es.mathworks.com/matlabcentral/fileexchange/119943-homonuclear-molecules-optimization-hmo), MATLAB Central File Exchange. Recuperado .

Mahdavi-Meymand, Amin, and Mohammad Zounemat-Kermani. “Homonuclear Molecules Optimization (HMO) Meta-Heuristic Algorithm.” Knowledge-Based Systems, vol. 258, Elsevier BV, Dec. 2022, p. 110032, doi:10.1016/j.knosys.2022.110032.

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Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
1.0.0