Robotics & Machine Learning Daily News2024,Issue(Oct.28) :42-43.

Researchers from Xiamen University Provide Details of New Studies and Findings in the Area of Computational Intelligence (Efficiently Tackling Million-dimension al Multiobjective Problems: a Direction Sampling and Fine-tuning Approach)

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :42-43.

Researchers from Xiamen University Provide Details of New Studies and Findings in the Area of Computational Intelligence (Efficiently Tackling Million-dimension al Multiobjective Problems: a Direction Sampling and Fine-tuning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Comp utational Intelligence is now available. According to news reporting originating from Xiamen, People’s Republic of China, by NewsRx correspondents, research sta ted, “We define very large-scale multiobjective optimization problems as optimiz ing multiple objectives (VLSMOPs) with more than 100,000 decision variables. The se problems hold substantial significance, given the ubiquity of real-world scen arios necessitating the optimization of hundreds of thousands, if not millions, of variables.”

Key words

Xiamen/People’s Republic of China/Asia/Computational Intelligence/Machine Learning/Xiamen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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