Robotics & Machine Learning Daily News2024,Issue(Sep.23) :48-49.

Findings from Anhui University in Computational Intelligence Reported (Deep Rein forcement Learning Based Adaptive Operator Selection for Evolutionary Multi-obje ctive Optimization)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :48-49.

Findings from Anhui University in Computational Intelligence Reported (Deep Rein forcement Learning Based Adaptive Operator Selection for Evolutionary Multi-obje ctive Optimization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented. According to news originating from Anhui, People’s Republic of China, by NewsRx correspondents, research stated, “ Evolutionary algorithms (EAs) have become one of the most effective techniques f or multiobjective optimization, where a number of variation operators have been developed to handle the problems with various difficulties. While most EAs use a fixed operator all the time, it is a labor-intensive process to determine the best EA for a new problem.”

Key words

Anhui/People’s Republic of China/Asia/Computational Intelligence/Emerging Technologies/Machine Learning/Reinforcem ent Learning/Anhui University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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