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- W2896672744 abstract "To deal with the default of Harmony Search Algorithm (HSA) of trapping into local optima for search for optimization results. An improved algorithm-harmony search has been presented in this paper. And inspired by big data analysis, I present a new concept- analysis and application of historical data. A mass of data, generated in the search process of the HSA, can be used to set up an instructive think tank to guide the optimizing search instead of the optimal solution and elitist solution app:addword:Elitist solution. After that, a probability distribution model is built according to historical data to forecast search trend. Specifically, the following tasks will be carried out and applied in image processing. The experience results have been proved that the new model would get better results than harmony search algorithm." @default.
- W2896672744 created "2018-10-26" @default.
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- W2896672744 date "2018-07-01" @default.
- W2896672744 modified "2023-10-16" @default.
- W2896672744 title "An Improved Optimization Algorithm Applied in Image Processing" @default.
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- W2896672744 doi "https://doi.org/10.23919/chicc.2018.8483846" @default.
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