Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

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 ...

Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...

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 ...

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 ...

Part of the joy of watching Jon M. Chu’s “Wicked” is getting to witness Elphaba (Cynthia Erivo) as she comes to realize her true purpose: doing everything in her (magical) power to free the animals of ...

Roblox said it is launching thumbnail personalization to help creators attract more users by showing the most relevant thumbnail to each user on the Roblox home page. While thumbnails are the tiny ...

Abstract: In order to improve the rationality of integrated energy system (IES) scheduling strategy and promote carbon reduction planning, this paper proposes a multi-objective optimization scheduling ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...