1157 search results - page 31 / 232 » Solving iterated functions using genetic programming |
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
ENTCS
2006
13 years 9 months ago
2006
A Random test generator generates executable tests together with their expected results. In the form of a noise-maker, it seeds the program with conditional scheduling primitives ...
CPHYSICS
2006
13 years 9 months ago
2006
This article introduces a tool for data fitting that is based on genetic programming and especially on the grammatical evolution technique. The user needs to input a series of poi...
GECCO
2010
Springer
14 years 1 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
2009
Springer
14 years 4 months ago
2009
Springer
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...