博识
发表于 2025-3-23 13:01:31
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.
coagulation
发表于 2025-3-23 17:18:20
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.
规范就好
发表于 2025-3-23 21:03:46
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.
Incorporate
发表于 2025-3-24 01:38:53
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.
Meager
发表于 2025-3-24 04:35:01
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.
热情的我
发表于 2025-3-24 07:06:13
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.
善辩
发表于 2025-3-24 12:56:50
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FID
发表于 2025-3-24 16:41:01
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Etching
发表于 2025-3-24 20:24:18
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.
diskitis
发表于 2025-3-25 01:25:37
2191-530Xon 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