A novel list-based threshold-accepting (LBTA) algorithm is proposed for solving the zero-wait (ZW) scheduling problem. The LBTA algorithm belongs to the class of threshold-accepting algorithms, but the acceptance probability decreases based on a list that is rejuvenated and adapted according to the topology of the solution space of the problem. A probabilistic steepest optimization strategy was adapted to search the solution space effectively. The effectiveness of the LBTA method is illustrated through case studies from scheduling literature which were formulated as mixed-integer linear programming and mixed-integer nonlinear programming models. The performance of the LBTA algorithm is also compared with that of the simulated annealing (SA)...
A scheduling problem commonly observed in the metal working industry has been studied in this resear...
This paper presents the problem of batching and scheduling jobs belonging to incompatible job famili...
This paper presents a heuristic rule-based genetic algorithm (GA) for large-size single-stage multi-...
A novel list based threshold accepting (LBTA) algorithm is proposed for solving the job-shop schedul...
Abstract: "This paper deals with the scheduling of multiproduct batch plants consisting of one unit ...
Scheduling problems in multipurpose batch process industries are very hard to solve because of the j...
Scheduling problems occur whenever a processing system is used to produce multiple products. In this...
Batch processing machines that can process a group of jobs simultaneously are often encountered in s...
This article presents a new algorithm for scheduling multistage batch plants with a large number of ...
In this paper , we will provide a scheduler on batch jobs with GA regard to the threshold detector. ...
Simulated Annealing (SA) is utilized for a short term scheduling problem where batches have to be sc...
For decades combinatorial problems have been studied in numerous disciplines. The scheduling problem...
This dissertation is dedicated to the problems of optimal production scheduling in the batch chemica...
This research is motivated by a practical application observed at a printed circuit board (PCB) manu...
This research is motivated by a practical application observed at a printed circuit board (PCB) manu...
A scheduling problem commonly observed in the metal working industry has been studied in this resear...
This paper presents the problem of batching and scheduling jobs belonging to incompatible job famili...
This paper presents a heuristic rule-based genetic algorithm (GA) for large-size single-stage multi-...
A novel list based threshold accepting (LBTA) algorithm is proposed for solving the job-shop schedul...
Abstract: "This paper deals with the scheduling of multiproduct batch plants consisting of one unit ...
Scheduling problems in multipurpose batch process industries are very hard to solve because of the j...
Scheduling problems occur whenever a processing system is used to produce multiple products. In this...
Batch processing machines that can process a group of jobs simultaneously are often encountered in s...
This article presents a new algorithm for scheduling multistage batch plants with a large number of ...
In this paper , we will provide a scheduler on batch jobs with GA regard to the threshold detector. ...
Simulated Annealing (SA) is utilized for a short term scheduling problem where batches have to be sc...
For decades combinatorial problems have been studied in numerous disciplines. The scheduling problem...
This dissertation is dedicated to the problems of optimal production scheduling in the batch chemica...
This research is motivated by a practical application observed at a printed circuit board (PCB) manu...
This research is motivated by a practical application observed at a printed circuit board (PCB) manu...
A scheduling problem commonly observed in the metal working industry has been studied in this resear...
This paper presents the problem of batching and scheduling jobs belonging to incompatible job famili...
This paper presents a heuristic rule-based genetic algorithm (GA) for large-size single-stage multi-...