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» Multiagent diffusion and distributed optimization
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ATAL
2006
Springer
14 years 2 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli
TSP
2010
13 years 5 months ago
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are distributed players competing for independent arms. Each arm, when played, offers i.i.d. reward a...
Keqin Liu, Qing Zhao
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 5 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
ATAL
2006
Springer
14 years 2 months ago
Distributed Lagrangean relaxation protocol for the generalized mutual assignment problem
Abstract. The generalized assignment problem (GAP) is a typical NP-hard problem and has been studied for many years mainly in the operations research community. The goal of the GAP...
Katsutoshi Hirayama
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 5 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...