23 search results - page 2 / 5 » Scalability of genetic programming and probabilistic increme... |
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Software testing is an expensive process, which is vital in the industry. Construction of the test-data in software testing requires the major cost and to decide which method to us...
PPSN
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...