Optimize volume for planetary gear train by using algorithm based artificial immune system

Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/20639

Title:	Optimize volume for planetary gear train by using algorithm based artificial immune system
Authors:	Yaw M.W. Chong K.H. #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE#
Description:	Planetary gear train (PGT) had widely used for power transmission in construction equipment and machinery. The main purpose of this paper is to present methods for minimize the volume of PGT as well as the minimum weight for space saving. This paper presents a comparison of develop algorithm based Artificial Immune System (AIS) to find the optimum combination of parameters design for minimize volume of two-stage PGT system. The developed algorithm is hybrid with Genetic Algorithm (GA) based AIS which named as Transform of Artificial Immune System (TRANS-AIS) and Three Parents Cross Transform of Artificial Immune System (X3PAIS). Developed algorithm were tested in three benchmark mathematic test function before apply in the PGT design. The optimum volume from this research are compared with other researchers and it is experimental that the presentation of TRANS-AIS and X3PAIS are as good as (if not superior) to other researchers’ algorithm. © 2020, World Academy of Research in Science and Engineering. All rights reserved.
URI:	http://dspace2020.uniten.edu.my:8080/handle/123456789/20639
Appears in Collections:	UNITEN Ebook and Article

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