In recent years, with the rapid development of the electric vehicle industry, the optimal scheduling problem for electric vehicles for corporate attendance has become a research focus. This paper ...

Multi-objective approach to optimize irrigation using a crop simulation model and historical weather data. We propose a machine learning approach based on the crop simulation model WOFOST to assess ...

rmoo is a non-dominated sorting based multi-objective optimization package built upon the ‘GA’ package. It provides a comprehensive, flexible, and modular framework for multi/many-objective ...

Multi-objective optimization aims to find out the appropriate dosage of FA, GGBFS, and SF to satisfy the target parameters. Generally speaking, self-compacting concrete (SCC) needs the highest ...

The paper is organized as follows. Section 2 provides basic concepts and definitions regarding multi-objective optimization. Section 3 presents solutions methods for solving MultiOOPs, including ...

Cloud platforms scheduling resources based on the demand of the tasks submitted by the users, is critical to the cloud provider's interest and customer satisfaction. In this paper, we propose a ...

To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional lightweight design of aircraft structures, and to improve optimization efficiency while ...