Sciweavers

1830 search results - page 318 / 366
» Optimizing Sorting with Genetic Algorithms
Sort
View
CEC
2005
IEEE
15 years 3 months ago
Evolutionary Solo Pong players
An Internet Java Applet http://www.cs.essex.ac.uk/staff/poli/ SoloPong/ allows users anywhere to play the Solo Pong game. We compare people’s performance to a hand coded “Optim...
William B. Langdon, Riccardo Poli
CEC
2005
IEEE
15 years 3 months ago
Dynamic power minimization during combinational circuit testing as a traveling salesman problem
Testing of VLSI circuits can cause generation of excessive heat which can damage the chips under test. In the random testing environment, high-performance CMOS circuits consume sig...
Artem Sokolov, Alodeep Sanyal, L. Darrell Whitley,...
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
15 years 3 months ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
Meta-grammar constant creation with grammatical evolution by grammatical evolution
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
Ian Dempsey, Michael O'Neill, Anthony Brabazon
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett