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» Using Genetic Programming to Increase Rule Quality
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EPIA
2007
Springer
14 years 1 months ago
A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem
Research in the field of examination timetabling has developed in two directions. The first looks at applying various methodologies to induce examination timetables. The second tak...
Nelishia Pillay, Wolfgang Banzhaf
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 1 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
UPP
2004
Springer
14 years 1 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule
FLAIRS
2006
13 years 9 months ago
Genetic Programming: Analysis of Optimal Mutation Rates in a Problem with Varying Difficulty
In this paper we test whether a correlation exists between the optimal mutation rate and problem difficulty. We find that the range of optimal mutation rates is inversely proporti...
Alan Piszcz, Terence Soule