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FCT
2007
Springer
13 years 11 months ago
Product Rules in Semidefinite Programming
Abstract. In recent years we have witnessed the proliferation of semidefinite programming bounds in combinatorial optimization [1,5,8], quantum computing [9,2,3,6,4,16] and even in...
Rajat Mittal, Mario Szegedy
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 15 days ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
13 years 11 months ago
Multiobjective genetic rule selection as a data mining postprocessing procedure
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a...
Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
EUROGP
2000
Springer
107views Optimization» more  EUROGP 2000»
13 years 11 months ago
Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary cl...
Robert Feldt, Peter Nordin
ISNN
2009
Springer
14 years 2 months ago
An Improved Quantum Evolutionary Algorithm with 2-Crossovers
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...
Zhihui Xing, Haibin Duan, Chunfang Xu