An Intelligent Priority Decision Making Algorithm for Competitive Operators in List-based Scheduling

In this paper, a new intelligent algorithm was proposed to minimize the number of control steps of overall operation when scheduling is performed by deciding the precedence of competing operations under the condition that only limited hardware resources were allowed to use. The proposed method could reduce the number of control steps for operation by using multiple criteria, while previous algorithms use one simple criterion. To combine several criteria, 'Fuzzy Logic' was used which allows continuous logic values between 0 and 1 unlike the traditional Boolean logic. To show the performance of proposed algorithm, a number of randomly generated test cases were used for simulation.