首页|Findings from Northeastern University Provides New Data about Intelligent System s (Adaptive Multi-stage Evolutionary Search for Constrained Multi-objective Opti mization)
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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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 .”
ShenyangPeople’s Republic of ChinaAs iaIntelligent SystemsMachine LearningNortheastern University
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