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Chemical Optimization Algorithm for Fuzzy Controller Design
Kategorie	Beschreibung
036a	XA-DE
037b	eng
087q	978-3-319-05244-1
100	Astudillo, Leslie
104b	Melin, Patricia
108b	Castillo, Oscar
331	Chemical Optimization Algorithm for Fuzzy Controller Design
410	Cham ; s.l.
412	Springer International Publishing
425	2014
425a	2014
433	Online-Ressource (VIII, 77 p. 32 illus, online resource)
451b	SpringerBriefs in Applied Sciences and Technology
501	Description based upon print version of record
517	IntroductionTheory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions.
527	Druckausg.ISBN: 978-331-90524-4-1
540a	ISBN 978-3-319-05245-8
700	\|UYQ
700	\|COM004000
700	\|*93-02
700	\|93B51
700	\|93C42
700	\|93C95
700	\|90C90
700	\|68T40
700b	\|629.8
700b	\|006.3
700c	\|Q342
750	In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions. This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based 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
012	403431441
081	Astudillo, Leslie: Chemical Optimization Algorithm for Fuzzy Controller Design
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-319-05245-8