Abstract: Multi-modal multi-objective optimization problems (MMOPs), which contain multiple distinct Pareto sets, are found in many real-world applications. Their multi-modality characteristics ...
We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...
Researchers in China have reportedly developed a smart electromagnetic surface capable of converting ambient electromagnetic waves into electrical power. This development represents an integration of ...
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 ...
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 ...
College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...
Abstract: This paper studies the multi-objective optimization problems (MOPs) of Markovian jump systems (MJSs) closed by general controllers. Firstly, the linear quadratic regulator (LQR) problem of ...