This paper is the first to consider the hybrid quantum-inspired evolutionary algorithm (HQEA) on the no-wait permutation flow shop scheduling problem (PFSP) for minimizing the makespan. In this HQEA, the quantum chromosomes are encoded by using the quantum rotating angle and a simple but efficient converting mechanism for determining job sequence is proposed for the representation of solution f...

This paper focuses on the flowshop scheduling problem with sequence dependent setup times (FSSP-SDST), which has been an investigated object for decades as one of the most popular scheduling problems in manufacturing systems. A novel hybrid local search algorithm called HLS is presented to solve the flowshop scheduling problem with sequence dependent setup times with the criterion of minimizing...

In this paper, we address a two-stage hybrid flowshop scheduling problem with identical parallel machines in each stage. The assumes that the queue (Q)-time for job, which represents waiting time to be processed current stage, must limited predetermined threshold due quality concerns final product. This is motivated by one occurs real field, especially diffusion workstation of semiconductor fab...

Ant colony optimization (ACO) is a meta-heuristic proposed to derive approximate solutions for computationally hard problems by emulating the natural behaviors of ants. In the literature, several successful applications have been reported for graph-based optimization problems, such as vehicle routing problems and traveling salesman problems. In this paper, we propose an application of the ACO t...