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We propose a new approach for designing classifiers for a -class ( 2) problem using genetic programming (GP). The proposed approach takes an integrated view of all classes when the GP evolves. A multitree representation of chromosomes is used. In this context, we propose a modified crossover operation and a new mutation operation that reduces the destructive nature of conventional genetic operations. We use a new concept of unfitness of a tree to select trees for genetic operations. This givesdoi:10.1109/tevc.2004.825567 fatcat:66qflivjo5cclcmdh2b2zfdf64