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EMO
2006
Springer
120views Optimization» more  EMO 2006»
15 years 8 months ago
Rule Induction for Classification Using Multi-objective Genetic Programming
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
Alan P. Reynolds, Beatriz de la Iglesia
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
15 years 7 months ago
Accelerating genetic programming by frequent subtree mining
One crucial issue in genetic programming (GP) is how to acquire promising building blocks efficiently. In this paper, we propose a GP method (called GPTM, GP with Tree Mining) whi...
Yoshitaka Kameya, Junichi Kumagai, Yoshiaki Kurata
AIEDAM
2008
127views more  AIEDAM 2008»
15 years 6 months ago
Evolving blackbox quantum algorithms using genetic programming
Although it is known that quantum computers can solve certain computational problems exponentially faster than classical computers, only a small number of quantum algorithms have ...
Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 6 months ago
Grothendieck inequalities for semidefinite programs with rank constraint
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the ...
Jop Briët, Fernando Mário de Oliveira ...
JUCS
2007
129views more  JUCS 2007»
15 years 6 months ago
Constraint Programming Architectures: Review and a New Proposal
: Most automated reasoning tasks with practical applications can be automatically reformulated into a constraint solving task. A constraint programming platform can thus act as a u...
Jacques Robin, Jairson Vitorino, Armin Wolf