000			01567nam a2200253 4500
005			20250630121459.0
008			250630b |||||||| |||| 00| 0 eng d
020			_a9780443274008
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB28931 R4 _qCSL
100			_aXu, Hua _eauthor. _9809649
245			_aIntelligent Evolutionary Optimization
260			_aAmsterdam : _bElsevier, _c2024.
300			_axxiv, 362p. _b: ill. _c; 24 cm.
500			_aIncludes appendix and index
520			_aIntelligent Evolutionary Optimization introduces biologically-inspired intelligent optimization algorithms to address complex optimization problems and provide practical solutions for tackling combinatorial optimization problems. The book explores efficient search and optimization methods in high-dimensional spaces, particularly for high-dimensional multi-objective optimization problems, offering practical guidance and effective solutions across various domains. Providing practical solutions, methods, and tools to tackle complex optimization problems and enhance modern optimization techniques, this book will be a valuable resource for professionals seeking to enhance their understanding and proficiency in intelligent evolutionary optimization.
650			_aMachine learning. _9480917
650			_aComputational intelligence. _9751736
650			_aMulti-objective optimization. _9732961
650			_aSearch algorithms. _9814905
700			_aYuan, Yuan _eco-author _9809650
942			_2CC _n0 _cTEXL _hB28931 R4
999			_c1433111 _d1433111