Distributed optimization with information-constrained population dynamics

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...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22477
Acceso en línea:
https://doi.org/10.1016/j.jfranklin.2018.10.016
https://repository.urosario.edu.co/handle/10336/22477
Palabra clave:
Constrained optimization
Electric load dispatching
Graph theory
Multi agent systems
Population dynamics
Scheduling
Convergence rates
Distributed optimization
Economic dispatch problems
Equilibrium point
Global objective functions
Local information
Multiagent framework
Topological constraints
Problem solving
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