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Авторизация |
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Поиск по указателям |
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Burke E.K., Kendall G. — Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques |
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Предметный указатель |
University exam timetabling see “Timetabling”
Unsupervised learning 342 357 368
Upper approximations 476—504 511 520
Upper bound 27 29 30 35—37 45 47 49 51 56 58 77 246 266 281 291 418 423 448 580
Utility service optimization 240
Utopian objective vector 281
Variable, consistency model 498
Variable, generation 87—89
Variable, neighborhood search 211—238
Variable, neighborhood search, reduced 211 219 220 222 233
Variable, neighborhood search, skewed 211—226
Variable, neighborhood search, variable neighborhood decomposition search 211
Variable, neighborhood search, variable neighborhood descent 211
Variable, neighborhood search, VNS within exact algorithm 231
Variable, precision rough set approach 498
| Vehicle routing 178 544 553
Verifiable 563
Visual CHIP 258
VNDS 211 213 227 228 230
VNS see “Variable neighborhood search”
Vogel’s approximation method 57
Waiting-time model 602
Weak preference relation 493 508
Weighted maximum satisfiability 226
Weighted-sum approach 289—291
XCS 534—536
Y-reduct 486
Zero-argument functions 129
Zykov’s algorithm 33
“Axes” of a search space 587
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