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GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
16 years 7 days ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
16 years 7 days ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
183
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GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
16 years 7 days ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
16 years 7 days ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont
GRID
2005
Springer
16 years 7 days ago
Protecting grid data transfer services with active network interfaces
A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
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