Renewable energy has been a worldwide interest due to a growing energy demand as well as a mounting concern over the hostile impacts from traditional fuels. One of a direction for future renewable energy is the use of biofuel. In this research, we initially apply the K-means algorithm to...

The quadratic assignment problem (QAP) is one of the most important combinatorial optimization problems in theory and practice. In this paper, we are proposing a hierarchical data-driven parallel memetic algorithm to solve the problem. A component-based hierarchical system architecture with a...

This paper tackles the green bike-sharing reposition problem (GBSRP) considering the reposition quality and carbon emission during the reposition simultaneously. With the expanding scale of today’s bikesharing system (BSS), the environmental pollution during the reposition becomes obvious....

The flexible job-shop scheduling problem (FJSP) is a typical mixed-integer linear programming problem, which plays an important role in operation research. A variable neighborhood search (VNS) enhance genetic algorithm (VNSeGA) is presented to minimize makespan of FJSP in this paper. In VNSeGA,...

Cloud manufacturing task scheduling (CMTS) gains widespread attention in the cloud manufacturing (CMfg) community. At present, most related researches are mainly aimed at task-oriented scheduling and there are few researches considering user’ characteristics, like user preferences. In this...