As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...
To improve the adaptability of solar refrigeration systems to different heat sources, a single-double-effect LiBr-H2O ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal 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 ...
School of Information Engineering, Qujing Normal University, Qujing, China. Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this ...
Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
1 Department of Electrical Engineering, College of Engineering & Sciences, The University of Texas Permian Basin, Odessa, TX, USA. 2 Electrical and Computer Engineering Technology, Indiana State ...
1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...
Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...
Abstract: This paper addresses multi-objective optimization problems using conflict-averse multi-objective extremum seeking (CAMOES) for unknown static mapping. As for the traditional multi-objective ...
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