74 search results - page 1 / 15 » Efficiently evolving programs through the search for novelty |
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
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...
EC
2008
13 years 5 months ago
2008
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
GPEM
2006
13 years 5 months ago
2006
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
AAAI
1994
13 years 7 months ago
1994
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...