Artificial intelligence (AI) is the new arms race and the centerpiece of defense modernization efforts across multiple countries, including the United States. Yet, despite the surge in AI investments, ...
Abstract: Many practical optimization problems involve multiple objectives involving heterogeneous evaluation times. To handle such problems, most evolutionary multi-and many-objective optimization ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
ABSTRACT: Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning ...
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 ...
Have you ever wondered why some conversational AI systems feel seamless and intuitive, while others leave users frustrated and disengaged? The difference often lies in how well these systems ...
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 ...
Abstract: This study presents a novel optimization framework, the Gaussian Process-Based Surrogate-Assisted Multi-Objective Snow Goose Algorithm (GP-SAMOSGA), aimed at optimizing cold chain logistics ...
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