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005			20260514191948.0
008			260514t20242024nyua b 001 0 eng d
020			_a9781633438835
020			_a9781633438835
040			_aYDX _beng _cYDX _dJRZ _dOCLCO _dAUXAM _dBDX _dNUI _dOCLCO _dDLC _dDLC-MRC _dBD-DhIUB
082	0	4	_a006.31 _223 _bK452o
100	1		_aKhamis, Alaa M. _eauthor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aOptimization algorithms : _bAI techniques for design, planning, and control problems / _cAlaa Khamis.
260			_aNew York: _bManning Publications Co. _c2024
300			_axx, 513 pages _billustrations _c23 cm
504			_aIncludes bibliographical references (pages 492-496) and index.
505	0		_aPart 1. Deterministic search algorithms. Introduction to search and optimization -- A deeper look at search and optimization -- Blind search algorithms -- Informed search algorithms -- Part 2. Trajectory-based algorithms. Simulated annealing -- Tabu search -- Part 3. Evolutionary computing algorithms. Genetic algorithms -- Genetic algorithm variants -- Part 4. Swarm intelligence algorithms. Particle swarm optimization -- Other swarm intelligence algorithms to explore -- Part 5. Machine learning-based methods. Supervised and unsupervised learning -- Reinforcement learning.
520			_aEvery time you call for a rideshre, order food delivery, book a flight, or schedule a hospital appointement, an algorithm works behind the scenes to find the optimal result. Blending modern AI methods with classical search and optimization techniques can deliver incredible results, especially for the messy problems you encounter in the real world. This book shows you how. Optimization algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges.
526			_aCSE _bps _lREF
541			_aOmni concept
650		0	_aComputer algorithms
650		0	_aMetaheuristics
650		0	_aMathematical optimization
650		0	_aNature-inspired algorithms
650		0	_aMachine learning
650		6	_aAlgorithmes
650		6	_aOptimisation mathématique
650		6	_aAlgorithmes inspirés par la nature
650		6	_aApprentissage automatique
650		6	_aMétaheuristiques
650		7	_aalgorithms _2aat
942			_2ddc _cBK
999			_c57798 _d57972