5 citations · 13 across the 5 of their papers we have counts for
5 papers
Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problem
Peng Guo, Wenming Cheng, Yi Wang
This paper considers the two-stage capacitated facility location problem (TSCFLP) in which products manufactured in plants are delivered to customers via storage depots. Customer d…
Scheduling step-deteriorating jobs to minimize the total weighted tardiness on a single machine
Peng Guo, Wenming Cheng, Yi Wang
This paper addresses the scheduling problem of minimizing the total weighted tardiness on a single machine with step-deteriorating jobs. With the assumption of deterioration, the j…
Parallel machine scheduling with step deteriorating jobs and setup times by a hybrid discrete cuckoo search algorithm
Peng Guo, Wenming Cheng, Yi Wang
This article considers the parallel machine scheduling problem with step-deteriorating jobs and sequence-dependent setup times. The objective is to minimize the total tardiness by…
A general variable neighborhood search for single-machine total tardiness scheduling problem with step-deteriorating jobs
Peng Guo, Wenming Chen, Yi Wang
In this article, we study a single-machine scheduling problem of minimizing the total tardiness for a set of independent jobs. The processing time of a job is modeled as a step fun…
A hybrid generalized extremal optimization algorithm for the quay crane scheduling problem with interference constraints
Peng Guo, Wenming Chen, Yi Wang
The quay crane scheduling problem (QCSP) determines the handling sequence of tasks at ship bays by a set of cranes assigned to a container vessel such that the vessel's service tim…