id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-19163	Lu, Weihua; Ma, Tingxia; Zhang, Longyao	Energy Consumption Optimization Analysis of LNG Receiving Station Based on Genetic Algorithm 	2024	5	.pdf	application/pdf	3302	170	39	Energy consumption optimization results of genetic algorithm jointly run by IFV and SCV 140 It can be analyzed from Figure 5 that as the number of iterations of the genetic algorithm increases, the objective function (minimum energy consumption) first decreases and then becomes stable, that is, the optimal solution is found. Genetic algorithm optimization process	cache/ajst-19163.pdf	txt/ajst-19163.txt