A New Thermodynamic Equilibrium-Based Metaheuristic

Broderick Crawford, Ricardo Soto, Enrique Cortés, Gino Astorga

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In this work, a new optimization method inspired on the Thermodynamic Equilibrium is described to address nonlinear problems in continuous domains. In our proposal, each decision variable is treated as the most volatile chemical component of a saturated binary liquid mixture at a determined pressure and temperature. The optimization procedure is started with an initial solution randomly generated. The search is done by changing the equilibrium state of each mixture. The search is carried out by accepting worse solutions to avoid being left trapped in local optimums. The search includes the random change of the mixtures. The algorithm was tested by using known mathematical functions as benchmark functions showing competitive results in comparison with other metaheuristics.

Idioma originalInglés
Título de la publicación alojadaCybernetics Approaches in Intelligent Systems - Computational Methods in Systems and Software 2017
EditoresRadek Silhavy, Petr Silhavy, Zdenka Prokopova
EditorialSpringer Verlag
Páginas336-346
Número de páginas11
ISBN (versión impresa)9783319676173
DOI
EstadoPublicada - 2018
Publicado de forma externa
EventoInternational Conference on Computational Methods in Systems and Software, CoMeSySo 2017 - Vsetin, República Checa
Duración: 12 sept. 201714 sept. 2017

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen661
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaInternational Conference on Computational Methods in Systems and Software, CoMeSySo 2017
País/TerritorioRepública Checa
CiudadVsetin
Período12/09/1714/09/17

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