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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 11 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
134
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 11 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
137
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CN
2011
117views more  CN 2011»
14 years 12 months ago
Cross-layer design in multihop wireless networks
In this paper, we take a holistic approach to the protocol architecture design in multihop wireless networks. Our goal is to integrate various protocol layers into a rigorous fram...
Lijun Chen, Steven H. Low, John C. Doyle
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 11 months ago
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios
A genome rearrangement scenario describes a series of chromosome fusion, fission, and translocation operations that suffice to rewrite one genome into another. Exact algorithmic ...
Nikolay Vyahhi, Adrien Goëffon, Macha Nikolsk...
MOBIQUITOUS
2007
IEEE
15 years 11 months ago
Optimal Relay Node Fault Recovery
—Topology control problems are concerned with the assignment of power levels to the nodes of an ad-hoc network so as to maintain a specified network topology while minimizing th...
Fei Che, Liang Zhao, Errol L. Lloyd