id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-27258	Wang, Zhenghao	Programming Model for Enterprise Multi-Process Decision Optimization	2024	4	.pdf	application/pdf	2597	132	38	This approach allows genetic algorithms to explore vast solution spaces and seek potential global optima, thereby providing robust support for production decisions. In literature [4], due to the defect of local optimization of genetic algorithm, the author introduced population variance factor and population entropy factor as decision variables and dynamically adjusted the parameters of genetic algorithm to optimize population diversity and search efficiency.	cache/fbem-27258.pdf	txt/fbem-27258.txt