Yong-Qing Huang

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Noise is one of the important factors that influence the performance of evolutionary computation (EC). Many studies on noise were reported in traditional EC, but less in IEC. The reported work on noise in EC is reviewed firstly. Then the convergence robustness against fitness noise in IEC is studied secondly. Mapping among spaces, dominating relationship(More)
The improvement of the algorithm's performance and the reduction of a use's fatigue are important issues in interactive genetic algorithms (IGAs). In order to achieve these purposes, the idea of submitting users the most satisfactory individuals estimated directly is put forward. Firstly, three issues about samples that is a determinative factors of the(More)
Learning is the core of intelligence algorithm. Genetic algorithm (GA), as an intelligent algorithm, has its own learning mechanism. This paper focuses on the learning matrix of evolutionary operators in GA. From the viewpoint of solution generation, the learning mechanism in GA is studied and the matrix expression of recombination and mutation is given. A(More)
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