Minimizing total tardiness on one machine is NP-hard
Mathematics of Operations Research
A GRASP for a difficult single machine scheduling problem
Computers and Operations Research
Scheduling in a sequence dependent setup environment with genetic search
Computers and Operations Research - Special issue on genetic algorithms
A GRASP for single machine scheduling with sequence dependent setup costs and linear delay penalties
Computers and Operations Research
Computers and Operations Research
Journal of Global Optimization
Scheduling under machine breakdown in a continuous process industry
Computers and Operations Research
An ant colony optimization for single-machine tardiness scheduling with sequence-dependent setups
Computers and Operations Research
Expert Systems with Applications: An International Journal
Computers and Operations Research
Hi-index | 0.00 |
When handling combinatorial optimization problems, we try to get the optimal arrangement of discrete entities so that the requirements and the constraints are satisfied. These problems become more and more important in various industrial and academic fields. So, over the past years, several techniques have been proposed to solve them. In this paper, we are interested in the single machine scheduling problem with Sequence-Dependent Setup Times, which can be solved through different approaches. We present a hybrid algorithm which combines Greedy Randomized Adaptive Search Procedure and Differential Evolution for tackling this problem. Our algorithm is tested on benchmark instances from the literature. The computational experiments prove the efficiency of this algorithm.