000 03148nam a22004575i 4500
001 978-3-540-73190-0
003 DE-He213
005 20201213203723.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540731900
_9978-3-540-73190-0
024 7 _a10.1007/978-3-540-73190-0
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aSivanandam, S.N.
_eauthor.
245 1 0 _aIntroduction to Genetic Algorithms
_h[electronic resource] /
_cby S.N. Sivanandam, S.N. Deepa.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aEvolutionary Computation -- Genetic Algorithms -- Terminologies and Operators of GA -- Advanced Operators and Techniques in Genetic Algorithm -- Classification of Genetic Algorithm -- Genetic Programming -- Genetic Algorithm Optimization Problems -- Genetic Algorithm Implementation Using Matlab -- Genetic Algorithm Optimization in C/C++ -- Applications of Genetic Algorithms -- to Particle Swarm Optimization and Ant Colony Optimization.
520 _aGenetic Algorithms are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of Genetic Algorithms is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first laid down by Charles Darwin of survival of the fittest. This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. The various operators and techniques given in the book are pertinent to carry out Genetic Algorithm Research Projects. The book also explores the different types are Genetic Algorithms available with their importance. Implementation of Genetic Algorithm concept has been performed using the universal language C/C++ and the discussion also extends to Genetic Algorithm MATLAB Toolbox. Few Genetic Algorithm problems are programmed using MATLAB and the simulated results are given for the ready reference of the reader. The applications of Genetic Algorithms in Machine learning, Mechanical Engineering, Electrical Engineering, Civil Engineering, Data Mining, Image Processing, and VLSI are dealt to make the readers understand where the concept can be applied.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aDeepa, S.N.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540731894
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-73190-0
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c22645
_d22645