Quality testing algorithms reduce overall completion time and overall delay in machine scheduling

Abstract

Abstract In this paper we shed light on the issue of scheduling a single machine for foggy delay time and foggy work time. For the purpose of reducing the value of maximizing blur-delay function. A comparison was made and tested between several local methods ((TA), (TS), (GA), (ACO) and (MA)). The results of the selection reached 1500 works. Through the results, it was found that ACO gives the best approximate solutions.