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» Using Genetic Programming to Increase Rule Quality
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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 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....
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 11 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
ICCS
2005
Springer
14 years 1 months ago
Evolutionary Discovery of Arbitrary Self-replicating Structures
In this paper we describe our recent use of genetic programming methods to automatically discover CA rule sets that produce self-replication of arbitrary given structures. Our init...
Zhijian Pan, James A. Reggia
CEC
2009
IEEE
14 years 2 months ago
Semantically driven mutation in genetic programming
—Using semantic analysis, we present a technique known as semantically driven mutation which can explicitly detect and apply behavioural changes caused by the syntactic changes i...
Lawrence Beadle, Colin G. Johnson
ICRA
1998
IEEE
147views Robotics» more  ICRA 1998»
13 years 12 months ago
Biologically Inspired Robot Grasping Using Genetic Programming
This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best&#...
Jaime J. Fernandez, Ian D. Walker