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- W4385695098 abstract "The “subjective” renewal of industrial heritage(IH) will bring some uncertain losses to our IH culture, so it is necessary to analyze the value of IH quantitatively and construct the IH evaluation model(EM) objectively and realistically. In this paper, under the guidance of the current situation and theories of the evaluation system(ES) of heritage value at home and abroad, we combine the current situation of the ES of IH in China and construct the EM of IH based on the simulated annealing hybrid Genetic Algorithm(AHGA) as the entry point; briefly analyze the theory of simulated annealing algorithm(SA)A and the construction of the EM of IH value; discuss the operation process of the imagery construction evaluation and SAA of IH. Finally, simulation experiments are conducted for IH evaluation based on simulated AHGA. The results show that the results based on simulated AHGA are more accurate than single genetic algorithm(GA) and SAA, and there are fewer iterations and simpler steps when running the program, while laying the foundation for further heritage conservation and landscape renewal strategies to be proposed." @default.
- W4385695098 created "2023-08-10" @default.
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- W4385695098 date "2023-06-16" @default.
- W4385695098 modified "2023-09-27" @default.
- W4385695098 title "Simulated Annealing Hybrid Genetic Algorithm for Industrial Heritage Evaluation Model Construction" @default.
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- W4385695098 doi "https://doi.org/10.1109/icaisc58445.2023.10199270" @default.
- W4385695098 hasPublicationYear "2023" @default.
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