To Appear in Ieee Transactions on Evolutionary Computation 1 Designing Classifier Fusion Systemsby Genetic

Designing classifier fusion systems by genetic algorithms

We suggest two simple ways to use a genetic algorithm (GA) to design a multiple-classifier system. The first GA version selects disjoint feature subsets to be used by the individual classifiers, whereas the second version selects (possibly) overlapping feature subsets, and also the types of the individual classifiers. The two GAs have been tested with four real data sets: Heart, Satimage, Lette...

Evolutionary Computation: Comments On The History And Current State - Evolutionary Computation, IEEE Transactions on

Evolutionary computation has started to receive significant attention during the last decade, although the origins can be traced back to the late 1950’s. This article surveys the history as well as the current state of this rapidly growing field. We describe the purpose, the general structure, and the working principles of different approaches, including genetic algorithms (GA) [with links to g...

Editorial: Welcome To The IEEE Neural Networks Society

I WANT towelcomeyou toournewly formedsociety.On February 17, 2002, the IEEE Neural Networks Council (NNC), publisher of the IEEE TRANSACTIONS ON NEURAL NETWORKS (TNN), the IEEE TRANSACTIONS ON FUZZY SYSTEMS (TFS), and the IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (TEC), became the IEEE Neural Networks Society (NNS). This accomplishment was made possible by the relentless efforts of our ExCo...

Ieee Transactions on Evolutionary Computation

Submission to Ieee Transactions on Evolutionary Computation