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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
14 years 11 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
ATAL
2003
Springer
15 years 3 months ago
Designing Self-Assembly for 2-Dimensional Building Blocks
In this paper we present a genetic algorithm-based approach towards designing self-assembling objects comprised of square smart blocks. Each edge of each block can have one of thr...
Ying Guo, Geoff Poulton, Philip Valencia, Geoff Ja...
CEC
2007
IEEE
15 years 1 months ago
Preventing selfish behavior in Ad Hoc networks
Cooperation enforcement is one of the key issues in ad hoc networks. In this paper we proposes a new strategy driven approach that aims at discouraging selfish behavior among netwo...
Marcin Seredynski, Pascal Bouvry, Mieczyslaw A. Kl...
PPSN
2000
Springer
15 years 1 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
CEC
2009
IEEE
15 years 4 months ago
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
— Legged robots show promise for complex mobility tasks, such as navigating rough terrain, but the design of their control software is both challenging and laborious. Traditional...
Jeff Clune, Benjamin E. Beckmann, Charles Ofria, R...