首页|Yunnan University Researchers Further Understanding of Intelligent Systems (Adap tive differential evolution with fitness-based crossover rate for global numeric al optimization)
Yunnan University Researchers Further Understanding of Intelligent Systems (Adap tive differential evolution with fitness-based crossover rate for global numeric al optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in intelligent system s. According to news originating from Yunnan University by NewsRx correspondents , research stated, “Differential evolution (DE) is one of the most efficient evo lution algorithms (ES) for dealing with nonlinear, complicated and difficult glo bal optimization problems. The main contribution of this paper can be summarized in three directions: Firstly, a novel crossover rate (CR) generation scheme bas ed on the zscore value of fitness, named fcr, is introduced.” Funders for this research include National Natural Science Foundation of China; Applied Basic Research Key Project of Yunnan.
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