IAES International Journal of Robotics and Automation (IJRA)
Vol 3, No 3: September 2014

Controlling Bloat in Genetic Programming for Sloving Wall Following Problem

Navid Bazrkar (Tabari University)
Mostafa Nemati (Tabari University)
Reza Salimi (Tabari University)

Article Info

Publish Date
01 Sep 2014

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.

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Journal Info
IAES International Journal of Robotics and Automation (IJRA)
Website

Abbrev

IJRA

Publisher

Institute of Advanced Engineering and Science

Subject

Automotive Engineering Electrical & Electronics Engineering

Description

Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our ...