000 03696nam a22005175i 4500
001 978-3-642-27479-4
003 DE-He213
005 20140220083308.0
007 cr nn 008mamaa
008 120125s2012 gw | s |||| 0|eng d
020 _a9783642274794
_9978-3-642-27479-4
024 7 _a10.1007/978-3-642-27479-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aAguiar e Oliveira Junior, Hime.
_eauthor.
245 1 0 _aStochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing
_h[electronic resource] /
_cby Hime Aguiar e Oliveira Junior, Lester Ingber, Antonio Petraglia, Mariane Rembold Petraglia, Maria Augusta Soares Machado.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXII, 208p. 59 illus., 14 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v35
505 0 _aGlobal optimization and its applications -- Heuristic methods -- Fuzzy adaptive simulated annealing -- Unconstrained optimization -- Constrained optimization -- Applications to signal processing -- Fuzzy modeling with fuzzy adaptive simulated annealing -- Statistical estimation and global optimization -- Nonlinear equation solving -- Space-filling curves and fuzzy ASA -- Epilogue.
520 _aStochastic global optimization is a very important subject, that has applications in virtually all areas of science and technology. Therefore there is nothing more opportune than writing a book about a successful and mature algorithm that turned out to be a good tool in solving difficult problems. Here we present some techniques for solving  several problems by means of Fuzzy Adaptive Simulated Annealing (Fuzzy ASA), a fuzzy-controlled version of ASA, and by ASA itself. ASA is a sophisticated global optimization algorithm that is based upon ideas of the simulated annealing paradigm, coded in the C programming language and developed to statistically find the best global fit of a nonlinear constrained, non-convex cost function over a multi-dimensional space. By presenting detailed examples of its application we want to stimulate the reader’s intuition and make the use of Fuzzy ASA (or regular ASA) easier for everyone wishing to use these tools to solve problems. We kept formal mathematical requirements to a minimum and focused on continuous problems, although ASA is able to handle discrete optimization tasks as well. This book can be used by researchers and practitioners in engineering and industry, in courses on optimization for advanced undergraduate and graduate levels, and also for self-study.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aIngber, Lester.
_eauthor.
700 1 _aPetraglia, Antonio.
_eauthor.
700 1 _aRembold Petraglia, Mariane.
_eauthor.
700 1 _aAugusta Soares Machado, Maria.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642274787
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v35
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-27479-4
912 _aZDB-2-ENG
999 _c102600
_d102600