Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...

FAIRFAX, VA, UNITED STATES, March 17, 2026 /EINPresswire.com/ -- Founder and CEO of Dream to Rise LLC, Empowering ...

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WebFX reports that AI optimization is crucial for businesses, focusing on getting cited by AI platforms like ChatGPT and ...

Abstract: In this paper, we introduce a novel approach for addressing the multi-objective optimization problem in large language model merging via black-box multi-objective optimization algorithms.

DES MOINES, Iowa — For the first time in decades, the Des Moines Police Department is rolling out a strategic plan. It's based on 21st Century Policing, a framework of best practices for law ...

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 ...

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 ...

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 Qujing ...