000			02553nam a22003257a 4500
001			sulb0063809
003			BD-SySUS
005			20150128092129.0
008			120209s2012 enka b 001 0 eng d
010			_a 2012359691
016	7		_a015976823 _2Uk
020			_a9781848166813
020			_a1848166818
035			_a(OCoLC)ocn659769684
040			_aBTCTA _beng _cBTCTA _dYDXCP _dCDX _dRDI _dBWX _dJCU _dDEBSZ _dUAB _dNLE _dUKMGB _dDRB _dZCU _dFDA _dI3U _dDLC _dBD-SySUS
082	0	4	_a005.73 _223 _bIBN
100	1		_aIba, Hitoshi. _910109
245	1	0	_aNew frontier in evolutionary algorithms : _btheory and applications / _cHitoshi Iba, Nasimul Noman.
246	3	3	_aNew frontiers in evolutionary algorithms
260			_aLondon : _bImperial College Press ; _aSingapore ; _aHackensack, NJ : _bDistributed by World Scientific, _cc2012.
300			_axii, 304 p. : _bill ; _c24 cm.
504			_aIncludes bibliographical references (p. 285-296) and index.
505	0		_aIntroduction -- A practical guide to genetic algorithms using Excel simulators -- Real-valued GA and its variants -- Theoretical background of GA search performance -- The memetic computing approach -- Real-world applications of evolutionary algorithms -- Appendix A : GA simulators -- Appendix B : PSO and BUGS simulators -- Appendix C : Mathematical model of NFL.
520			_aThis book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications. It provides a methodology for a GA-based search strategy with the integration of several Artificial Life and Artificial Intelligence techniques, such as memetic concepts, swarm intelligence, and foraging strategies. The development of such tools contributes to better optimizing methodologies when addressing tasks from areas such as robotics, financial forecasting, and data mining in bioinformatics. The emphasis of this book is on applicability to the real world. Tasks from application areas--optimization of the trading rule in foreign exchange (FX) and stock prices, economic load dispatch in power system, exit/door placement for evacuation planning, and gene regulatory network inference in bioinformatics--are studied, and the resultant empirical investigations demonstrate how successful the proposed approaches are when solving real-world tasks of great importance.--Publisher description.
650		0	_aAlgorithms. _910110
650		0	_aGenetic algorithms. _910111
650		0	_aEvolutionary computation. _910112
700	1		_aNoman, Nasimul. _910113
942			_2ddc _cBK
999			_c19936 _d19936