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Genetic Programming Using Partial Order Of Solutions For Pattern Recognition Tasks

. Proceedings of the second National Conference on Computer Recognition Systems KOSYR-2001, page 427--433. Strona palacu w Milkowie, Karpacza, Poland, (28-31 May 2001)

Abstract

This paper investigates the use of genetic programming (GP) for learning of pattern recognition programs. The central topic here is the introduction of GP incorporating partial order of solutions as opposed to the standard complete (linear) order imposed by the scalar fitness function. We claim that such an extension protects the `interesting', however worse w.r.t. the value of the fitness function, solutions from being discarded in the selection process, and thus increases the diversity of the population. That hypothesis is verified on a real-world case study concerning the recognition of handwritten characters.

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