The application of simulation modeling in public administration is under study at the level of interregional interaction in specific federal districts. The main indicator for development success of a particular federal district is the natural growth of its population. For this purpose, a model...

In this paper we consider, for the first time, the setup and travel times of cranes in the berth allocation and quay crane assignment problem. We first propose a new mixed integer linear programming model (MILP) for the problem without setups (BACASP), in which neither the berthing positions nor...

With the advent of Big Data, managing large-scale portfolios of thousands of securities is one of the most challenging tasks in the asset management industry. This study uses an evolutionary multi objective technique to solve large-scale portfolio optimisation problems with both long-term listed...

Overall energy efficiency is crucial for green production and carbon dioxide emission, especially for energy-intensive industries such as steel making. To deal with unrelated parallel machine scheduling for steelmaking-continuous casting that is the bottleneck and energy-intensive process, this...

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...

In today’s competitive environment, projects must be implemented at a lower cost and in less time, and resources must be used optimally. Therefore, project management and scheduling using an efficient tool is a necessity. Resource constraint project scheduling (RCPSP) is one of the most widely...