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000697404 0167_ $$a016684929$$2Uk
000697404 020__ $$a9783319052458 $$qelectronic book
000697404 020__ $$a3319052454 $$qelectronic book
000697404 020__ $$z9783319052441
000697404 0247_ $$a10.1007/978-3-319-05245-8$$2doi
000697404 035__ $$aSP(OCoLC)ocn874996498
000697404 035__ $$aSP(OCoLC)874996498
000697404 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dN$T$$dUKMGB$$dYDXCP$$dCOO
000697404 049__ $$aISEA
000697404 050_4 $$aQ342
000697404 08204 $$a006.3$$223
000697404 1001_ $$aAstudillo, Leslie,$$eauthor.
000697404 24510 $$aChemical optimization algorithm for fuzzy controller design$$h[electronic resource]  /$$cLeslie Astudillo, Patricia Melin, Oscar Castillo.
000697404 264_1 $$aCham :$$bSpringer,$$c2014.
000697404 300__ $$a1 online resource (viii, 77 pages) :$$billustrations.
000697404 336__ $$atext$$btxt$$2rdacontent
000697404 337__ $$acomputer$$bc$$2rdamedia
000697404 338__ $$aonline resource$$bcr$$2rdacarrier
000697404 4901_ $$aSpringerBriefs in applied sciences and technology. Computational intelligence,$$x2191-530X
000697404 504__ $$aIncludes bibliographical references and index.
000697404 5050_ $$aTheory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions.
000697404 506__ $$aAccess limited to authorized users.
000697404 520__ $$aIn this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions. This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application
000697404 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed March 17, 2014).
000697404 650_0 $$aComputational intelligence.
000697404 650_0 $$aMathematical optimization.
000697404 650_0 $$aFuzzy systems.
000697404 7001_ $$aMelin, Patricia,$$d1962-,$$eauthor.
000697404 7001_ $$aCastillo, Oscar,$$d1959-,$$eauthor.
000697404 830_0 $$aSpringerBriefs in applied sciences and technology.$$pComputational intelligence.
000697404 85280 $$bebk$$hSpringerLink
000697404 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-05245-8$$zOnline Access
000697404 909CO $$ooai:library.usi.edu:697404$$pGLOBAL_SET
000697404 980__ $$aEBOOK
000697404 980__ $$aBIB
000697404 982__ $$aEbook
000697404 983__ $$aOnline
000697404 994__ $$a92$$bISE