Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
IEEE

Multi-Robot Cooperative Inspection Planning of Substation Based on Genetic Algorithm and Deep Reinforcement Learning

Abstract: The safe and reliable operation of power systems relies on the intelligent operation and maintenance (O&M) of substations. However, multi-robot collaborative inspection, an essential ...
IEEE

Multi-Objective Optimization of Permanent Magnet Synchronous Motor Considering Electromagnetic-Structural Coupling

Abstract: This paper proposes a multi-objective optimization method based on electromagnetic-structural coupling for permanent magnet synchronous motor. The proposed method is aimed at simultaneously ...
Scientific Research Publishing

A Review of Research on the Transportation Problem ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...
EurekAlert!

A new perspective on designing urban low-altitude logistics networks subhead: Balancing cost, safety, and noise through co-evolutionary multi-objective optimization

The urban low-altitude logistics network adopts a hub-and-spoke, multi-layered structure. Its nodes are waypoints mapped to corresponding altitude layers based on spoke nodes (delivery spots) and hub ...