000			02048nam a2200349 i 4500
008			200219s2024 a 000 0 eng d
020			_a9783031630521 _qhardback _cRM818.00 (PTSL)
040			_aUKM _erda
090			_aQA76.9.A43 _bC843 3
100	1		_aCuevas, Erik _eauthor.
245	1	0	_aMetaheuristic algorithms : _bnew methods, evaluation, and performance analysis / _cErik Cuevas [and three others].
264		1	_aCham : _bSpringer, _c[2024].
264		4	_c©2024.
300			_a297 pages : _billustrations (some color) _c24 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aStudies in computational intelligence, _x1860-949X ; _vvolume 1163
505	0		_a-- Introduction to Metaheuristic methods. -- 2. A novel method for initializing populations using the Metropolis-Hastings (MH) technique. -- 3. A measure of diversity for metaheuristic algorithms employing population-based approaches. -- 4. Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. -- 5. Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. -- 6. Utilizing the Moth Swarm Algorithm to Improve Image Contrast. -- 7. Enhancing Anisotropic Diffusion Filtering via Multi-Objective Optimization. -- 8. Fractional Fuzzy Controller Using Metaheuristic Techniques. -- 9. Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?
650		0	_aMetaheuristics.
700	1		_aLuque, Alberto, _d1963- _eauthor.
700	1		_aMorales Castañeda, Bernardo, _eauthor.
700	1		_aRivera, Beatriz, _d1957- _eauthor.
830		0	_aStudies in computational intelligence _vv. 1163. _x1860-949X
907			_a.b17061866 _b2025-03-20 _c2025-03-14
942			_c01 _n0 _kQA76.9.A43 C843 3
949			_o101036389
990			_amq/idah
991			_aFakulti Teknologi dan Sains Maklumat
998			_al _b2025-03-17 _cm _da _feng _gsz _y0 _z.b17061866
999			_c672792 _d672792