Robotics & Machine Learning Daily News2024,Issue(Apr.29) :81-82.

Recent Findings in Intelligent Systems Described by Researchers from Tongji Univ ersity (A Novel Tri-stage With Reward-switching Mechanism for Constrained Multio bjective Optimization Problems)

Robotics & Machine Learning Daily News2024,Issue(Apr.29) :81-82.

Recent Findings in Intelligent Systems Described by Researchers from Tongji Univ ersity (A Novel Tri-stage With Reward-switching Mechanism for Constrained Multio bjective Optimization Problems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning - Intelligent Systems. According tonews reporting originating from Sh anghai, People’s Republic of China, by NewsRx correspondents, researchstated, “ The effective exploitation of infeasible solutions plays a crucial role in addre ssing constrainedmultiobjective optimization problems (CMOPs). However, existin g constrained multiobjective optimizationevolutionary algorithms (CMOEAs) encou nter challenges in effectively balancing objective optimizationand constraint s atisfaction, particularly when tackling problems with complex infeasible regions .”

Key words

Shanghai/People’s Republic of China/As ia/Intelligent Systems/Machine Learning/Tongji University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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