首页|New Intelligent Systems Study Results from Nanchang University Described (Popula tion State-driven Surrogate-assisted Differential Evolution for Expensive Constr ained Optimization Problems With Mixed-integer Variables)
New Intelligent Systems Study Results from Nanchang University Described (Popula tion State-driven Surrogate-assisted Differential Evolution for Expensive Constr ained Optimization Problems With Mixed-integer Variables)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Intelligent Systems. According to news reporting originating in Jiangxi, People's Republic of China, by NewsRx journalists, research stated, “M any surrogate-assisted evolutionary algorithms (SAEAs) have been shown excellent search performance in solving expensive constrained optimization problems (ECOP s) with continuous variables, but few of them focus on ECOPs with mixed-integer variables (ECOPs-MI). Hence, a population state-driven surrogateassisted differ ential evolution algorithm (PSSADE) is proposed for solving ECOPs-MI, in which t he adaptive population update mechanism (APUM) and the collaborative framework o f global and local surrogate-assisted search (CFGLS) are combined effectively.”
JiangxiPeople's Republic of ChinaAsiaIntelligent SystemsDifferential EvolutionEmerging TechnologiesMachine L earningNanchang University
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