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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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