2026-04-17T21:21:51Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/264722026-02-09T07:57:52Zcom_2072_1033col_2072_452950

Constrained distributed optimization based on population dynamics Barreiro Gómez, Julián Quijano Silva, Nicanor Ocampo-Martínez, Carlos Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control Àrees temàtiques de la UPC::Informàtica::Automàtica i control distributed optimization population dynamics. Optimització matemàtica 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. Peer Reviewed Postprint (published version) 2014 Conference report Barreiro, J.; Quijano, N.; Ocampo-Martinez, C.A. Constrained distributed optimization based on population dynamics. A: IEEE Conference on Decision and Control. "2014 IEEE 53rd Annual Conference on Decision and Control (CDC)". Los Angeles: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 4260-4265. 978-1-4799-7746-8 https://hdl.handle.net/2117/26472 10.1109/CDC.2014.7040053 eng info:eu-repo/grantAgreement/EC/FP7/318556/EU/Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks/EFFINET Restricted access - publisher's policy 6 p. application/pdf Institute of Electrical and Electronics Engineers (IEEE)