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Immunity Genetic Algorithm Based on Elitist Strategy and Its Application to the TSP Problem

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2 Author(s)
Liang Yan ; Sch. of Econ. & Manage., Beijing Inf. Sci. & Technol. Univ., Beijing ; Yang Kongyu

In order to improve searching efficiency and prevent premature in the standard GA, a new immune genetic algorithm is proposed and designed based on elitist strategy of its complete convergence and immune memory mechanism in the immune system. Through comparing the solutions of TSP problem with between the standard GA and IMGA, then complete convergence and good computation complicacy of the IMGA is analyzed to prove much better than the standard GA.The excellent availability on searching efficiency has some practical significance.

Published in:

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on  (Volume:2 )

Date of Conference:

21-22 Dec. 2008