Author/Authors :
برزگر، بهنام نويسنده Department of Computer Engineering, Nowshahr Branch, Islamic Azad University, Nowshahr, Iran. barzegar, Behnam , موتمني، همايون نويسنده Motameni, Homayun , خسروزاده قمي، علي نويسنده Department of Computer Engineering, Science and Research Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran khosrozadeh ghomi, ali , ديوسالار، آزاده نويسنده Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran divsalar, azadeh
Abstract :
Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified machines so that makespan can be minimized. Open shop scheduling problem has very large and complex solution space and so is one of NP-Problems. Till now, different algorithms have been presented for open shop scheduling problem. In this paper, we have used combined genetics algorithm as a strategy for solving scheduling open shop problem and compared proposed algorithm with DGA algorithm. Results show that the proposed algorithm has better effectiveness than DGA algorithm.
