首页|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)
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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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.”
HangzhouPeople’s Republic of ChinaAsiaIntelligent SystemsEmerging TechnologiesMachine LearningParticle Swarm OptimizationHangzhou Normal University
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