首页|Reports Summarize Machine Learning Research from 'Dunarea de Jos' University (A Machine Learning Algorithm That Experiences the Evolutionary Algorithm's Predictions-An Application to Optimal Control)
Reports Summarize Machine Learning Research from 'Dunarea de Jos' University (A Machine Learning Algorithm That Experiences the Evolutionary Algorithm's Predictions-An Application to Optimal Control)
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Research findings on artificial intelligence are discussed in a new report. According to news originating from Galati, Romania, by NewsRx correspondents, research stated, “Using metaheuristics such as the Evolutionary Algorithm (EA) within control structures is a realistic approach for certain optimal control problems. They often predict the optimal control values over a prediction horizon using a process model (PM).” The news reporters obtained a quote from the research from “Dunarea de Jos” University: “The computational effort sometimes causes the execution time to exceed the sampling period. Our work addresses a new issue: whether a machine learning (ML) algorithm could 'learn' the optimal behaviour of the couple (EA and PM). A positive answer is given by proposing datasets apprehending this couple's optimal behaviour and appropriate ML models. Following a design procedure, a number of closed-loop simulations will provide the sequences of optimal control and state values, which are collected and aggregated in a data structure. For each sampling period, datasets are extracted from the aggregated data. The ML algorithm experiencing these datasets will produce a set of regression functions. Replacing the EA predictor with the ML model, new simulations are carried out, proving that the state evolution is almost identical. The execution time decreases drastically because the PM's numerical integrations are totally avoided.”
'Dunarea de Jos' UniversityGalatiRomaniaEuropeAlgorithmsCyborgsEmerging TechnologiesEvolutionary AlgorithmMachine LearningMathematics
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