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...
- 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
- Rights
- License
- Abierto (Texto Completo)