Abstract: Expensive multi-objective binary optimization problems frequently emerge in real-world applications, where evaluating a single solution incurs significant computational or physical costs.
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...
1 Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China. 2 School of International Education, Southern Medical University, Guangzhou, China. 3 Guangdong ...
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 ...
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Abstract: The Taguchi method is an efficient method for machine optimization design. Unfortunately, the conventional Taguchi method is hard to obtain a complete set of nondominated solutions due to ...
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