Lan, M. H. (2025) Multi-Objective Evolutionary Optimization for Qujing’s Cultural-Tourism Routes. Journal of Data Analysis ...
Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating ...
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 ...
Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
What Drives Us in Mechanical Engineering? Mechanical engineers use the principles of energy, materials, and mechanics to design and manufacture machines and devices of all types. At Drexel, our ...
Metec Cathodic Protection has secured three key contract as it strengthening its position in the booming European renewables market. Founded nine years ago, the Jarrow-based firm has grown rapidly – ...
Microsoft and OpenAI unveil a deal extending IP rights, adding independent AGI verification, and giving both sides more freedom while maintaining Azure ties. Nvidia’s path back into China remains ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
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