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» On the Convergence of Bound Optimization Algorithms
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94
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EVOW
2010
Springer
15 years 11 months ago
Adaptive Noisy Optimization
In this paper, adaptive noisy optimization on variants of the noisy sphere model is considered, i.e. optimization in which the same algorithm is able to adapt to several frameworks...
Philippe Rolet, Olivier Teytaud
152
Voted
CEC
2008
IEEE
15 years 11 months ago
A particle swarm optimizer with lifespan for global optimization on multimodal functions
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
Jun Zhang, Ying Lin
140
Voted
CEC
2008
IEEE
15 years 11 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
146
Voted
DCC
2004
IEEE
16 years 4 months ago
On the Complexity of Rate-Distortion Optimal Streaming of Packetized Media
We consider the problem of rate-distortion optimal streaming of packetized media with sender-driven transmission over a single-QoS network using feedback and retransmissions. For ...
Martin Röder, Jean Cardinal, Raouf Hamzaoui
ICML
1995
IEEE
16 years 5 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III