Title: Performance comparison of crossover operators for postfix genetic programming

Authors: Vipul K. Dabhi; Sanjay Chaudhary

Addresses: Department of Information Technology, Dharmsinh Desai University, Nadiad, Gujarat, India ' Institute of Engineering and Technology, Ahmedabad University, Ahmedabad, Gujarat, India

Abstract: In this article, we present three crossover operators for postfix-GP, a GP system that adopts postfix notation for an individual representation. These crossover operators are: GA-like one-point, sub-tree, and semantic aware sub-tree. The algorithm and implementation details for each of these crossover operators are presented. The operators are applied on a set of real-valued symbolic regression problems. The performance comparison of the crossover operators is carried out using two measures, number of successful runs and mean best adjusted fitness. The significance of the obtained results is tested using statistical test. The results suggest that semantic aware sub-tree crossover outperforms GA-like one-point and sub-tree crossovers on all problems.

Keywords: GA-like one-point crossover; sub-tree crossover; semantic awareness; postfix genetic programming; performance comparison.

DOI: 10.1504/IJMHEUR.2014.065189

International Journal of Metaheuristics, 2014 Vol.3 No.3, pp.244 - 264

Received: 28 Dec 2013
Accepted: 14 Jul 2014

Published online: 15 Oct 2014 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article