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Título: | Constrained distributed optimization based on population dynamics |
Autor: | Barreiro-Gómez, Julian CSIC ORCID; Quijano, Nicanor; Ocampo-Martínez, Carlos CSIC ORCID | Fecha de publicación: | 2014 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | IEEE 53rd Annual Conference on Decision and Control (CDC): 4260-4265 (2014) | Resumen: | This paper proposes a novel methodology for solving constrained optimization problems in a distributed way, inspired by population dynamics and adding dynamics to the population masses. The proposed methodology divides the problem into smaller problems, whose feasible regions vary over time achieving an agreement to solve the global problem. The methodology also guarantees attraction to the feasible region and allows to have few changes in the decision-making design, when the network suffers the addition or removal of nodes. Simulation results are presented in order to illustrate several cases. | Descripción: | Trabajo presentado a la 53rd IEEE Conference on Decision and Control (CDC 2014), celebrada del 15 al 17 de diciembre en Los Angeles, California (US). | Versión del editor: | http://dx.doi.org/10.1109/CDC.2014.7040053 | URI: | http://hdl.handle.net/10261/127331 | DOI: | 10.1109/CDC.2014.7040053 | Identificadores: | isbn: 978-1-4799-7746-8 |
Aparece en las colecciones: | (IRII) Libros y partes de libros |
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Population-Dynamics.pdf | 593,09 kB | Adobe PDF | Visualizar/Abrir |
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