Journal of Graphics
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Abstract: Based on the integration of the genetic algorithm (GA) and the simulated annealing algorithm, an improved lowest horizontal line (ILHL) algorithm is presented in order to improve utilization and stability of the rectangular packing algorithm. In this algorithm, a signed decimal encoding is utilized to generate the gene sequence in accordance with the length-width ratio and the area of the rectangle, which is employed to establish the initial population. The improved lowest horizontal line algorithm adopts the best individuals from a number of random sequences with different nesting orders and layout sizes, uses utilization rate as the fitness function and reduces the idle area. In this paper, a contrast experiment is operated to compare ten groups of rectangular data randomly generated by ILHL with those generated by GA proposed in the current literature. The experiment results show that our algorithm (ILHL) can effectively improve the utilization rate and time efficiency of the packing results.
Key words: rectangular packing, genetic algorithm, simulated annealing algorithm, improved lowest horizontal line
ZHOU Jiazhi, YIN Ling, ZHANG Sumin. On Layout Optimization Based on Genetic Simulated Annealing Algorithm[J]. Journal of Graphics, DOI: 10.11996/JG.j.2095-302X.2018030567.
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http://www.txxb.com.cn/EN/Y2018/V39/I3/567