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EUROGP
2007
Springer
129views Optimization» more  EUROGP 2007»
15 years 9 months ago
Genetic Programming Heuristics for Multiple Machine Scheduling
In this paper we present a method for creating scheduling heuristics for parallel proportional machine scheduling environment and arbitrary performance criteria. Genetic programmin...
Domagoj Jakobovic, Leonardo Jelenkovic, Leo Budin
ICEC
1994
37views more  ICEC 1994»
15 years 4 months ago
A Method for Utilizing Diploid/Dominance in Genetic Search
homologous alleles seemingly compete prior to manifestation in the observed phenotype, will be referred to as sub-phenotype interaction.A method is proposed for implementing diploi...
F. Greene
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
PPSN
2004
Springer
15 years 8 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
ECAI
2010
Springer
15 years 4 months ago
Nested Monte-Carlo Expression Discovery
Nested Monte-Carlo search is a general algorithm that gives good results in single player games. Genetic Programming evaluates and combines trees to discover expressions that maxim...
Tristan Cazenave