Research on a Multi-Objective Genetic Algorithm for Rational Agent Learning Model
2011 ◽
Vol 58-60
◽
pp. 1232-1239
Keyword(s):
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.
2017 ◽
Vol 10
(1)
◽
pp. 33
◽
2016 ◽
Vol 11
(8)
◽
pp. 715
2019 ◽
Vol 7
(2)
◽
pp. 110-114
2019 ◽
Vol 688
◽
pp. 033020