2019³â Ãß°èÇмú´ëȸ
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
A Method for Vehicle Loading Optimization Using Genetic Algorithm |
ÀúÀÚ(Author) |
Â÷ÁÖÇü
¿ì¿µ¿î
Joo Hyoung Cha
Young Woon Woo
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 02 PP. 0077 ~ 0080 (2019. 10) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
In this paper, we proposed a technique for optimizing vehicle loading using genetic algorithms from the transformation and visualization of data allocated to space. In the conventional genetic algorithm, techniques for mutation, good gene survival, and representative gene extraction were used. In addition, the vehicle loading optimization technique is proposed by utilizing the merging and branching techniques of vehicle loading space. Experimental results show that the merging and dividing technique proposed in this paper is effective in the optimization process, which is difficult to handle with the crossover technique used in the existing genetic algorithm. |
Å°¿öµå(Keyword) |
Genetic algorithm
Vehicle loading optimization
Merge and branch
Visualization
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