Distributed optimization with information-constrained population dynamics

• Published in: Journal of the Franklin Institute Vol. 356; no. 1; pp. 209 - 236
• Main Authors: Pantoja, A., Obando, G., Quijano, N.
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.01.2019; Elsevier Science Ltd
• Subjects: Algorithms; Computer simulation; Convergence; Distributed generation; Multiagent systems; Network topologies; Optimization; Population; Problem solving; Topology

In a multi-agent framework, distributed optimization problems are generally described as the minimization of a global objective function, where each agent can get information only from a neighborhood defined by a network topology. To solve the problem, this work presents an information-constrained s...