首页|New Findings Reported from Jiangnan University Describe Advances in Computationa l Intelligence (Multi-region Trend Prediction Strategy With Online Sequential Ex treme Learning Machine for Dynamic Multi-objective Optimization)
New Findings Reported from Jiangnan University Describe Advances in Computationa l Intelligence (Multi-region Trend Prediction Strategy With Online Sequential Ex treme Learning Machine for Dynamic Multi-objective Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence.According to news reporting origina ting from Wuxi, People’s Republic of China, by NewsRx correspondents,research s tated, “Dynamic multi-objective optimization problems (DMOPs) involve multiple conflicting and time-varying objectives, requiring dynamic multi-objective algori thms (DMOAs) to trackchanging Pareto-optimal fronts. In recent decade, predicti on-based DMOAs have shown promise in handlingDMOPs.”
WuxiPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningJiangnan University
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