EC
2007
13 years 11 months ago
2007
Steady-State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This ...
CEC
2010
IEEE
14 years 1 days ago
2010
IEEE
— This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and...
GECCO
2008
Springer
14 years 28 days ago
2008
Springer
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
GECCO
2008
Springer
14 years 28 days ago
2008
Springer
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
CEC
2010
IEEE
14 years 29 days ago
2010
IEEE
Even though evolutionary algorithms have been applied to a vast number of problems, they are still not always applicable. As an example, this paper briefly discusses smart applianc...
JFPLC
2003
14 years 1 months ago
2003
ABSTRACT. We present PICPA, a new algorithm for tackling constrained continuous multiobjective problems. The algorithm combines constraint propagation techniques and evolutionary c...
ESANN
2003
14 years 1 months ago
2003
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
IJIT
2004
14 years 1 months ago
2004
Cryptarithmetic problem is an interesting constraint satisfaction problem for which different algorithms have been given. But none of them can solve the problem intelligently using...
IJIT
2004
14 years 1 months ago
2004
In this paper, the problem of finding the optimal collision free path for a mobile robot, the path planning problem, is solved using an advanced evolutionary algorithm called memet...
GEM
2008
14 years 1 months ago
2008
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...