000			03742cam a2200517Ki 4500
001			9780429289071
003			FlBoTFG
005			20220711212401.0
006			m o d
007			cr |n|||||||||
008			200607s2020 flu ob 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781000076646 _q(electronic bk.)
020			_a1000076644 _q(electronic bk.)
020			_a9780429289071 _q(electronic bk.)
020			_a0429289073 _q(electronic bk.)
020			_a9781000076608 _q(electronic bk. : PDF)
020			_a1000076601 _q(electronic bk. : PDF)
020			_a9781000076622 _q(electronic bk. : Mobipocket)
020			_a1000076628 _q(electronic bk. : Mobipocket)
020			_z0367503298
020			_z9780367503291
035			_a(OCoLC)1156990453
035			_a(OCoLC-P)1156990453
050		4	_aQA76.9.N37
072		7	_aCOM _x012040 _2bisacsh
072		7	_aCOM _x059000 _2bisacsh
072		7	_aMAT _x004000 _2bisacsh
072		7	_aUY _2bicssc
082	0	4	_a006.38 _223
100	1		_aA, Vasuki. _916081
245	1	0	_aNature-inspired optimization algorithms _h[electronic resource] / _cVasuki A.
260			_aBoca Raton, FL : _bChapman and Hall/CRC, _c2020.
300			_a1 online resource.
520			_aNature-Inspired Optimization Algorithms,a comprehensivework on the most popular optimization algorithms based on nature,starts with an overview of optimizationgoing from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior. This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem rangingfrom computer science to economics andcovering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms. Features: Detailed description of the algorithms along with pseudocode and flowchart Easy translation to program code that is also readily available in Mathworks website for some of the algorithms Simple examples demonstrating the optimization strategies are provided to enhance understanding Standard applications and benchmark datasets for testing and validating the algorithms are included This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aNature-inspired algorithms. _912606
650		0	_aNatural computation. _910477
650		0	_aMathematical optimization. _94112
650		7	_aCOMPUTERS / Computer Graphics / Game Programming & Design _2bisacsh _912289
650		7	_aCOMPUTERS / Computer Engineering _2bisacsh _94770
650		7	_aMATHEMATICS / Arithmetic _2bisacsh _910958
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429289071
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c71178 _d71178