Multi-objective artificial evolution of RF-localization behavior and neural structures in mobile robots

Kim, On Chin and Teo, Jason Tze Wi and Azali Saudi, (2008) Multi-objective artificial evolution of RF-localization behavior and neural structures in mobile robots. In: 2008 IEEE Congress on Evolutionary Computation (CEC 2008), 1-6 June 2008, Hong Kong, China.

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Official URL: http://dx.doi.org//10.1109/CEC.2008.4630821

Abstract

This paper investigates the utilization of a multiobjective approach for evolving artificial neural networks (ANNs) that act as a controller for radio frequency (RF)-localization behavior of a virtual Khepera robot simulated in a 3D, physics-based environment. The non-elitist and elitist Pareto-frontier Differential Evolution (PDE) algorithm are used to generate the Pareto optimal sets of ANNs that optimize the conflicting objectives of maximizing the virtual Khepera robot's behavior for homing towards a RF signal source and minimizing the number of hidden neurons used in its feedforward ANNs controller. A new fitness function which involved maximizing average wheels speed and detection of the RF signal source is also proposed. The experimentation results showed that the virtual Khepera robot was able to move towards to the target with using only a small number of hidden neurons. Furthermore, the testing results also showed that the success rate for the robot to achieve the signal source was higher when the elitist PDE-EMO algorithm was used. The path analysis of the Pareto controllers elucidated many different behaviors in terms of providing a successful homing behavior for the robot to attain the RF signal source. © 2008 IEEE.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Aircraft engines, Boolean functions, Electric fault location, Evolutionary algorithms, Function evaluation, Multiobjective optimization, Neural networks, Neurons, Pareto principle, Partial differential equations, Regression analysis, Robotics, Wireless networks
Subjects:?? TJ210.2-211.47 ??
?? TK5101-6720 ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:1604
Deposited By:IR Admin
Deposited On:25 Mar 2011 14:04
Last Modified:30 Dec 2014 14:49

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