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All Journal IAES International Journal of Robotics and Automation (IJRA)
Reza Salimi
Tabari University
Automotive Engineering Electrical & Electronics Engineering

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Controlling Bloat in Genetic Programming for Sloving Wall Following Problem Navid Bazrkar; Mostafa Nemati; Reza Salimi
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.416 KB) | DOI: 10.11591/ijra.v3i3.pp201-211

Abstract

The goal in automatic programming is to get a computer to perform a task by telling it what needs to be done, rather than by explicitly programming it.With considers the task of automatically generating a computer program to enable an autonomous mobile robot to perform the task of following the wall of an irregular shaped room, During the evolution of solutions using genetic programming (GP) there is generally an increase in average tree size without a corresponding increase in fitness—a phenomenon commonly referred to as bloat. Many different bloat control methods have been proposed. This paper review, evaluate, implementation and comparison of these methods in wall following problem and the most appropriate method for solving bloat problem is proposed.
Co-Authors Mostafa Nemati Navid Bazrkar