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EUROGP
2000
Springer
15 years 1 months ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin
DAC
2008
ACM
15 years 10 months ago
Predictive design space exploration using genetically programmed response surfaces
Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surface...
Henry Cook, Kevin Skadron
CEC
2009
IEEE
15 years 4 months ago
Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability
— In this paper, a revised form of Implicit Context Representation Cartesian Genetic Programming is used in the development of a diagnostic tool for the assessment of patients wi...
Stephen L. Smith, Michael A. Lones
EPIA
2007
Springer
15 years 3 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
EUROGP
2005
Springer
118views Optimization» more  EUROGP 2005»
15 years 3 months ago
GP-Robocode: Using Genetic Programming to Evolve Robocode Players
Abstract. This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulationbased game wherein robotic tanks ...
Yehonatan Shichel, Eran Ziserman, Moshe Sipper