Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial risk at the lowest possible cost. However, in the Internet...

Traditional approaches to the study of technical analysis (TA) often focus on the performance of a single indicator, which seems to fall short in scope and depth. We use a genetic algorithm (GA) to optimize trading strategies in the three major Forex markets, in order to verify the adequacy of...

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...