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Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems

, and . AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Proceedings, volume 3809 of Lecture Notes in Computer Science, page 1079--1085. Sydney, Australia, Springer, (December 2005)
DOI: doi:10.1007/11589990_144

Abstract

Loop is an important structure in human written programs. However, it is seldom used in the evolved programs in genetic programming (GP). use of while-loop structure in GP for the factorial and the artificial ant problems. Two different forms of the while-loop structure, count-controlled loop and event-controlled loop, are investigated. The results suggest that both forms of the while-loop structure can be successfully evolved in GP, the system with the while-loop structure is more effective and more efficient than the standard GP system for the two problems, and the evolved genetic programs with the loop-structure are much easier to interpret.

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