1157 search results - page 38 / 232 » Solving iterated functions using genetic programming |
176
Voted
JCIT
2010
14 years 10 months ago
2010
Sensor deployment is a critical issue, as it affects the cost and detection capabilities of a wireless sensor network. Although many previous efforts have addressed this issue, mo...
106
click to vote
STOC
2004
ACM
16 years 3 months ago
2004
ACM
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy method for finding a feasible solution to a linear program (alternatively, for le...
145
Voted
PAKDD
2007
ACM
15 years 9 months ago
2007
ACM
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
178
Voted
GECCO
2011
Springer
14 years 7 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
124
Voted
EUROGP
2001
Springer
15 years 8 months ago
2001
Springer
Recent theory work has shown that a Genetic Program (GP) used to produce programs may have output that is bounded above by the GP itself [l]. This paper presents proofs that show t...