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- W2022023129 abstract "This paper introduces a simulated annealing algorithm for solving the linear constrained optimization problems. The performance of this algorithm is demonstrated with Rosenbrock function global optimal problem. Then the design of cooling schedule and the influence of various controlling parameters are discussed. From the results, it is evident that the quality of the obtained optimal solution is closely related to the iterative times. There are three parameters related to the iterative times, and the most important influence parameter is markov chain." @default.
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- W2022023129 date "2011-10-30" @default.
- W2022023129 modified "2023-09-23" @default.
- W2022023129 title "Study of controlling parameters of simulated annealing for constrained optimization problems" @default.
- W2022023129 doi "https://doi.org/10.1117/12.906071" @default.
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