Paper Title:
Research on a Multi-Objective Genetic Algorithm for Rational Agent Learning Model
  Abstract

As a software component which is capable of learning in an autonomous way, software agent should have the capability of learning in a dynamic environment. Genetic Algorithm has a wide perspective in the machine learning because of its unique characteristic (e.g. dynamic adaptability, self-organization, global convergence and robustness). But when applying GA to agent’s dynamic learning model, it encounters a series of problem. In this paper, a Modifided Multi-Objective Genetic Algorithm(MMOGA) will be introduced to solve these problems. Finally, an Agent’s Dynamic learning model based on a MMOGA which has the flexible dynamic learning capability, better global convergence and performance, will be introduced.

  Info
Periodical
Edited by
Qi Luo
Pages
1232-1239
DOI
10.4028/www.scientific.net/AMM.58-60.1232
Citation
M. Li, Z. H. Xiao, Z. F. Xie, X. Y. Mo, "Research on a Multi-Objective Genetic Algorithm for Rational Agent Learning Model", Applied Mechanics and Materials, Vols. 58-60, pp. 1232-1239, 2011
Online since
June 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Chun Zhi Hu, Fan Ming Zeng, Jin Sheng Xiao
Abstract:Using the development tool C++ Builder and adopting object oriented programming method, the ceramic/metal gradient thermal barrier coating...
1337
Authors: Yue Min Liu, Yan Zhu
Abstract:With the development of the electronic technology, people have proposed higher requirements for the service quality on elevator, and the...
3557
Authors: Yu Feng Xue, Yu Jia Wang, Qiu Dong Sun
Chapter 12: Computer-Aided Design, Manufacturing and Engineering
Abstract:In this paper, a new method is introduced to derive the extended natural gradient, which was proposed by Lewicki and Sejnowski in [1]....
3570
Authors: Lu Kai Xu, He Zeng, Bao Sen Zhang
Chapter 13: Exploitation, Conservation and Utilization of Water Resources
Abstract:There has been a long history for the ice disaster in the Yellow River, and monitoring methods at present relatively backward. Therefore, an...
2541
Authors: Zi Xu, Jing Yu
Chapter 6: Computational Simulation, Monitoring and Analysis in Manufacture
Abstract:This paper proposes the combined direction stochastic approximation method for solving simulation-based optimization problems. The new...
688