With the rapid expansion of the networked operation scale of China’s urban rail transit, the number of vehicles has increased ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...

A hybrid geothermal-biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization. Using exergy analysis and particle swarm optimization, the ...

Abstract: This article proposes an improved differential evolution multiobjective particle swarm optimization algorithm (DEV-MOPSO) for the design of dual-band power amplifiers (PAs). This algorithm ...

Discover the fascinating world of particle physics — the most fundamental building blocks of the universe and the forces that connect them. When you purchase through links on our site, we may earn an ...

1 Research Department of State Grid Zhejiang Electric Power Research Institute, Hangzhou, China 2 Research Department of State Grad Aksu Electric Power Supply Company, Aksu, China To address the ...

Abstract: The main challenge when solving constrained multiobjective optimization problems (CMOPs) with intricate constraints and high dimensionality is how to overcome a problem of irregular and ...