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ICC
2008
IEEE
121views Communications» more  ICC 2008»
14 years 2 months ago
Maximization of Network Survival Time in the Event of Intelligent and Malicious Attacks
—It is not possible to ensure that a network is absolutely secure. Therefore, network operators must continually change their defense strategies to counter attackers who constant...
Po-Hao Tsang, Frank Yeong-Sung Lin, Chun-Wei Chen
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 13 days ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
GECCO
2003
Springer
138views Optimization» more  GECCO 2003»
14 years 26 days ago
Emergence of Collective Behavior in Evolving Populations of Flying Agents
We demonstrate the emergence of collective behavior in two evolutionary computation systems, one an evolutionary extension of a classic (highly constrained) flocking algorithm and...
Lee Spector, Jon Klein, Chris Perry, Mark Feinstei...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 1 months 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