Multi-objective optimization approach based on Minimum Population Search algorithm

Multi-objective optimization approach based on Minimum Population Search algorithm

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Minimum Population Search is a recently developed metaheuristic for optimization of mono-objective continuous problems, which has proven to be a very effective optimizing large scale and multi-modal problems. One of its key characteristic is the ability to perform an efficient exploration of large d...

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Bibliographic Details
Main Authors: Darian Reyes-Fernández-de-Bulnes, Antonio Bolufé-Röhler, Dania Tamayo-Vera
Format: Article
Language:English
Published: Cátedra UNESCO en Gestión de Información en las Organizaciones (La Habana) 2019-05-01
Series:GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología
Subjects:
Evolutionary Algorithm
Minimum Population Search
Thresheld Convergence
Multi-objective Optimization
Online Access:https://upo.es/revistas/index.php/gecontec/article/view/4049

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