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Titlebook: Advances in Learning Automata and Intelligent Optimization; Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh, Book 2021 The Editor(s) (if

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發(fā)表于 2025-3-26 23:25:51 | 只看該作者
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發(fā)表于 2025-3-27 04:32:08 | 只看該作者
Probability in Clinical Diagnosislly for all kinds of problems. To enhance the abilities and improve the performance of a standard optimization algorithm for solving problems, several modifications or combinations with some techniques such as learning automata (LA), cellular automata (CA), and cellular learning automata (CLA) are p
33#
發(fā)表于 2025-3-27 06:24:59 | 只看該作者
The Epistemology of Placebo Effectroblems where several objectives may need to be satisfied. Therefore, there is a constant need to provide new optimization techniques and improving the existing methods. One of the most popular research topics in the literature on optimization is function optimization. The main reason is that many r
34#
發(fā)表于 2025-3-27 09:46:37 | 只看該作者
https://doi.org/10.1007/978-3-030-59094-9pter presents a new memetic algorithm called OMA-MA (object migration automaton-based memetic algorithm) that behaves according to learning the automata-based memetic algorithm (LA-MA) model. Like LA-MA, OMA-MA has composed of two parts: a genetic section and a memetic section. Evolution is performe
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發(fā)表于 2025-3-27 15:18:54 | 只看該作者
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發(fā)表于 2025-3-27 19:17:52 | 只看該作者
Clinical Regenerative Medicine in Urologyl. .). In general terms, all aspects of science and engineering include the optimization of a set of complex problems, in which the objectives of the optimization, some restrictions, or other elements may vary over time. Since exact algorithms are impractical in dynamic environments, stochastic opti
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發(fā)表于 2025-3-27 22:46:13 | 只看該作者
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發(fā)表于 2025-3-28 04:49:48 | 只看該作者
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發(fā)表于 2025-3-28 09:44:25 | 只看該作者
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發(fā)表于 2025-3-28 11:18:52 | 只看該作者
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