000			02023cam a2200445 a 4500
001			10858722
003			BD-DhIUB
005			20220701010751.0
006			m o d
007			cr zn|
008			140515s2014 enka ob 000 0 eng d
020			_z9780124167452 _a9780124167438
020			_a9780124167438
035			_a(CtWfDGI)bks00062222
035			_a(NNC)10858722
040			_aCtWfDGI _beng _cCtWfDGI _dBD-DhIUB
050	1	4	_aQA402.5 _b.Y36 2014eb
082	0	4	_a519.6 _223
100	1		_aYang, Xin-She.
245	1	0	_aNature-inspired optimization algorithms _h[electronic resource] / _cXin-She Yang.
250			_a1st ed.
256			_aComputer document.
260			_aLondon ; _aWaltham, MA : _bElsevier, _c2014 _e(Norwood, Mass. : _fBooks24x7.com [generator])
490	1		_aElsevier insights
500			_aTitle from title screen.
504			_aIncludes bibliographical references.
505			_a1. Introduction to Algorithms -- 2. Analysis of Algorithms -- 3. Random Walks and Optimization -- 4. Simulated Annealing -- 5. Genetic Algorithms -- 6. Differential Evolution -- 7. Particle Swarm Optimization -- 8. Firefly Algorithms -- 9. Cuckoo Search -- 10. Bat Algorithms -- 11. Flower Pollination Algorithms -- 12. A Framework for Self-Tuning Algorithms -- 13. How to Deal with Constraints -- 14. Multiobjective Optimization -- 15. Other Algorithms and Hybrid Algorithms -- APPENDIX A Test Function Benchmarks for Global Optimization -- APPENDIX B Matlab Programs
516			_aText.
520			_aComputer science
530			_aAvailable also in a print ed.
538			_aMode of access: Internet via World Wide Web.
550			_aDigitized and made available by: Books24x7.com.
650		0	_aMathematical optimization
650		0	_aAlgorithms _9539
655		7	_aElectronic books. _2lcsh
655		0	_aElectronic books.
856	4	0	_uhttp://www.sciencedirect.com/science/book/9780124167438 _zClick here for full text. _y(IUB Campus only)
942			_2ddc _cEBK
999			_c16350 _d16350