Titlebook: Bio-inspired Computing: Theories and Applications; 14th International C Linqiang Pan,Jing Liang,Boyang Qu Conference proceedings 2020 Sprin

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Janelle Monáe’s "Dirty Computer"date of the selection probabilities of candidate strategies is not fixed but learned from the evolution process by the learning automaton. Experimental results on a set of CEC2017 benchmark functions have verified the outstanding performance of LABSO in comparison with several representative BSO var

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Die T-Zell-vermittelte Immunitätinated and keep the positions with good values so that the convergence speed is increased. Compared with original BFO, GA, BFOLIW and BFONIW, AF-GBFO outperforms in most cases especially for the multimodal functions.

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https://doi.org/10.1007/978-3-319-04861-1ved roulette selection strategy based on evolutionary stability principle and apply it to the process of bacterial reproduction. The experiments are performed on eight benchmark functions to compare with the performance of LIRBFO, Bacterial Foraging Optimization with Levy Flight chemotaxis step size

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Jane Austen‘s Possessions and Dispossessionstorial optimization problems have been solved by the ant colony optimization algorithm. Firstly, the basic principles of ant colony algorithm are first introduced by this reference. Secondly, it briefs several improvements method of ant colony algorithm and the application in solving practical probl

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,,: Jane’s Most Daring Exploit,ion tasks in a cooperative manner. In EMTO, the knowledge transfer between tasks is mainly carried out through the assortative mating and selective imitation operators. However, in the literature of EMTO, little study on the selective imitation operator has yet been done to provide a deeper insight

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The Queen of the Jungle Goes Headhunting,nd large-scale optimization problems. However, when the BSO algorithm deals with the complex problems, there are still some disadvantages, such as the slow speed of the search algorithm for the late, premature convergence and easy to fall into local optimal solutions and so on. In order to solve the

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,Charlotte Brontë Life and Background,odels are expressed by impulse control equations, and which can be transformed into a global optimization problem. But it is easy to fall into local optimal when solving these equations by traditional method. On the other hand, differential evolution (DE) algorithm has been widely used to solve a va