Projects(61573144,61773165,61673175,61174040)supported by the National Natural Science Foundation of China;Project(222201717006)supported by the Fundamental Research Funds for the Central Universities,China
The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this wor...
National Natural Science Foundations of China(Nos.61573144,61174040)
Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine schedul...
Supported by the National Natural Science Foundation of China(61174040,U1162110,21206174);Shanghai Commission of Nature Science(12ZR1408100)
Optimizing operational parameters for syngas production of Texaco coal-water slurry gasifier studied in this paper is a complicated nonlinear constrained problem concerning 3 BP(Error Back Propagation) neural networks...
Projects(61174040,61104178,61374136) supported by the National Natural Science Foundation of China;Project(12JC1403400) supported by Shanghai Commission of Science and Technology,China;Project supported by the Fundamental Research Funds for the Central Universities,China
An effective discrete artificial bee colony(DABC) algorithm is proposed for the flow shop scheduling problem with intermediate buffers(IBFSP) in order to minimize the maximum completion time(i.e makespan). The effecti...