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- W2761010719 abstract "Nature-inspired algorithms are a class of effective tools for solving optimization problems and these algorithms have good properties such as simplicity, flexibility and high efficiency. Despite their popularity in practice, a mathematical framework is yet to be developed to analyze these algorithms theoretically. This work intends to analyze nature-inspired algorithms both qualitatively and quantitatively. We briefly outline the links between self-organization and algorithms, and then analyze algorithms using Markov chain theory, dynamic system and other methods. This can serve as a basis for building a multidisciplinary framework for algorithm analysis." @default.
- W2761010719 created "2017-10-20" @default.
- W2761010719 creator A5009930587 @default.
- W2761010719 date "2017-10-10" @default.
- W2761010719 modified "2023-09-25" @default.
- W2761010719 title "Mathematical Analysis of Nature-Inspired Algorithms" @default.
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- W2761010719 doi "https://doi.org/10.1007/978-3-319-67669-2_1" @default.
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