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» Evolving heuristics with genetic programming
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EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
14 years 1 months ago
Exploiting Reflection in Object Oriented Genetic Programming
Most programs currently written by humans are object-oriented ones. Two of the greatest benefits of object oriented programming are the separation of interface from implementation,...
Simon M. Lucas
CEC
2010
IEEE
13 years 10 months ago
Genetic programming for Expert Systems
— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
Konrad Sickel, Joachim Hornegger
GPEM
2000
126views more  GPEM 2000»
13 years 9 months ago
Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming
Genetic programming is an automatic method for creating a computer program or other complex structure to solve a problem. This paper first reviews various instances where genetic p...
John R. Koza, Martin A. Keane, Jessen Yu, Forrest ...
CCGRID
2009
IEEE
14 years 4 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
CEC
2010
IEEE
13 years 11 months ago
Evolving a CUDA kernel from an nVidia template
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
William B. Langdon, Mark Harman