作者: R. Nandan , R. Rai , R. Jayakanth , S. Moitra , N. Chakraborti
关键词: Engineering 、 Pareto principle 、 Multi-objective optimization 、 Flatness (systems theory) 、 Mathematical optimization 、 Evolutionary algorithm 、 Steel mill
摘要: ABSTRACT A genetic algorithms-based multioptimization study has been carried out for the hot rolling practice in an integrated steel plant. The aim is to identify parameter settings and schedules that would result optimum values of crown flatness–-two major parameters related geometric tolerances rolled sheet. Two objective functions some appropriate constraints have formulated this purpose, two different evolutionary algorithms are tried on them. optimized results presented forms Pareto fronts discussed context actual process.