Purpose - This study aims to examine the impact of the decision makers' risk preference on logistics routing problem, contributing to logistics behavior analysis and route integration optimization under uncertain environment. Due to the unexpected events and complex environment in modern...

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...

Algorithms play an increasingly important role in economic situations. Often these situations are strategic, where the artificial intelligence may or may not be cooperative. We study the determinants and forms of algorithmic cooperation in the infinitely repeated prisoner's dilemma. We run a...

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...

Risk interaction network (RIN), a system comprised of risk (nodes) and triggering relations (edges) between risks, changes the likelihood of occurring and also the impact of a risk. An issue of optimizing RIN, allowing for the risk response actions of weakening risk interactions, departs from...