首页|Researchers from Jiangxi Normal University Report New Studies and Findings in th e Area of Computational Intelligence (Evolutionary Multi-task Optimization With Adaptive Intensity of Knowledge Transfer)
Researchers from Jiangxi Normal University Report New Studies and Findings in th e Area of Computational Intelligence (Evolutionary Multi-task Optimization With Adaptive Intensity of Knowledge Transfer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning - Com putational Intelligence is the subject of areport. According to news reporting out of Nanchang, People’s Republic of China, by NewsRx editors,research stated, “Evolutionary multi-task optimization (EMTO) aims to solve multiple optimizatio n taskssimultaneously via cross-task knowledge transfer, which has attracted co nsiderable attention in the communityof evolutionary computation. For EMTO, the intensity of knowledge transfer is one of the mostcrucial factors for the algo rithm performance, which has a close relationship with the relatedness betweent asks.”
NanchangPeople’s Republic of ChinaAs iaComputational IntelligenceMachine LearningJiangxi Normal University
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