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Titlebook: Chemical Optimization Algorithm for Fuzzy Controller Design; Leslie Astudillo,Patricia Melin,Oscar Castillo Book 2014 The Editor(s) (if ap

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樓主: FAD
11#
發(fā)表于 2025-3-23 13:01:31 | 只看該作者
https://doi.org/10.1007/978-94-007-2105-0This chapter shows the simulation results obtained with the chemical optimization algorithm for the optimization of benchmark functions and robot fuzzy control design.
12#
發(fā)表于 2025-3-23 17:18:20 | 只看該作者
Xing Xu,Dan Li,Chen Gang Liu,Jan SunThis chapter offers the conclusions about the efficiency and accuracy of the proposed chemical optimization algorithm based on the simulation results for function optimization and fuzzy controller design in robotic applications.
13#
發(fā)表于 2025-3-23 21:03:46 | 只看該作者
Introduction,This chapter offers an introduction to the optimization method based on the paradigm of chemical reactions and its application to the design of fuzzy controllers in robotic systems.
14#
發(fā)表于 2025-3-24 01:38:53 | 只看該作者
Theory and Background,This chapter describes the theoretical concepts and background required to understand the new nature inspired optimization method based on the paradigm of chemical reactions.
15#
發(fā)表于 2025-3-24 04:35:01 | 只看該作者
Chemical Definitions,This chapter describes the basic chemical definitions needed to understand the proposed optimization method based on the paradigm of chemical reactions. The four basic chemical reactions are presented and explained.
16#
發(fā)表于 2025-3-24 07:06:13 | 只看該作者
The Proposed Chemical Reaction Algorithm,This chapter introduces the chemical reaction algorithm; it describes the main characteristics and definitions. In this work, the main objective is to introduce a novel optimization algorithm based in a paradigm inspired by nature, the chemical reactions.
17#
發(fā)表于 2025-3-24 12:56:50 | 只看該作者
18#
發(fā)表于 2025-3-24 16:41:01 | 只看該作者
19#
發(fā)表于 2025-3-24 20:24:18 | 只看該作者
Conclusions,This chapter offers the conclusions about the efficiency and accuracy of the proposed chemical optimization algorithm based on the simulation results for function optimization and fuzzy controller design in robotic applications.
20#
發(fā)表于 2025-3-25 01:25:37 | 只看該作者
2191-530X on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application..978-3-319-05244-1978-3-319-05245-8Series ISSN 2191-530X Series E-ISSN 2191-5318
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