
Ivan TrausLa Salle University
Ivan Traus
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Publications (8)
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require user-specified parameters, limiting their usefulness. This paper proposes a niching method for Particle Swarm Optimisation (PSO) where population ...
Evolutionary learning systems (also known as Pittsburgh learningclassifier systems) need to balance accuracy and parsimony for evolving high quality general hypotheses. The learning
process used in evolutionary learning systems is based on a set of training instances that sample the target concept to be
learned. Thus, the learning process may overf...
Learning systems (also known as Pittsburgh learning classifier systems) need to balance accuracy and parsimony for evolving high quality general hypotheses. The evolutionary learning process used in learning systems is based on using a set of training instances that sample the target concept to be learned. Thus, the the learning process may overfit...
Learning concept descriptions from data is a complex multiobjective task. The model induced by the learner should be accurate so that it can represent precisely the data instances, complete, which means it can be generalizable to new instances, and minimum, or easily readable. Learning Classifier Systems (LCSs) are a family of learners whose primar...
Learning concept descriptions from data is a complex multiobjective task. The model in- duced by the learner should be accurate so that it can represent precisely the data instances, complete, which means it can be generalizable to new instances, and minimum, or easily readable. Learning Classifier Systems (LCSs) are a family or learners whose prim...