Robotics & Machine Learning Daily News2024,Issue(Aug.23) :30-30.

Findings from Northeastern University Provides New Data about Intelligent System s (Adaptive Multi-stage Evolutionary Search for Constrained Multi-objective Opti mization)

Robotics & Machine Learning Daily News2024,Issue(Aug.23) :30-30.

Findings from Northeastern University Provides New Data about Intelligent System s (Adaptive Multi-stage Evolutionary Search for Constrained Multi-objective Opti mization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published.According to news reporting out o f Shenyang, People’s Republic of China, by NewsRx editors, researchstated, “In this paper, we propose a multi-stage evolutionary framework with adaptive select ion (MSEFAS)for efficiently handling constrained multi-objective optimization p roblems (CMOPs). MSEFAS has twostages of optimization in its early phase of evo lutionary search: one stage that encourages promisinginfeasible solutions to ap proach the feasible region and increases diversity, and the other stage that enables the population to span large infeasible regions and accelerates convergence .”

Key words

Shenyang/People’s Republic of China/As ia/Intelligent Systems/Machine Learning/Northeastern University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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