Robotics & Machine Learning Daily News2024,Issue(Jan.3) :64-64.

Reports from Hangzhou Normal University Describe Recent Advances in Intelligent Systems (A Sequential Quadratic Programming Based Strategy for Particle Swarm Optimization On Single-objective Numerical Optimization)

Robotics & Machine Learning Daily News2024,Issue(Jan.3) :64-64.

Reports from Hangzhou Normal University Describe Recent Advances in Intelligent Systems (A Sequential Quadratic Programming Based Strategy for Particle Swarm Optimization On Single-objective Numerical Optimization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning - Intelligent Systems have been published.According to news originating from Hangzhou, People’s Republic of China, by NewsRx correspondents,research stated, “Over the last decade, particle swarm optimization has become increasingly sophisticatedbecause well-balanced exploration and exploitation mechanisms have been proposed. The sequentialquadratic programming method, which is widely used for real-parameter optimization problems, demonstratesits outstanding local search capability.”

Key words

Hangzhou/People’s Republic of China/Asia/Intelligent Systems/Emerging Technologies/Machine Learning/Particle Swarm Optimization/Hangzhou Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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