A fuzzy constraint satisfaction approach to achieving stability in dynamic constraint satisfaction problems.

by Wong, Yin Pong Anthony.Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.Includes bibliographical references (leaves 101-107).Abstracts in English and Chinese.Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Constraint Satisfaction Problems --- p.2Chapter 1.2 --- Solution Stability in Dynamic Constraint Satisfaction Problems --- p.3Chapter 1.3 --- Motivation of the Research --- p.5Chapter 1.4 --- Overview of the Thesis --- p.5Chapter 2 --- Related Work --- p.7Chapter 2.1 --- Complete Search Algorithms --- p.7Chapter 2.1.1 --- DnAC-4 --- p.8Chapter 2.1.2 --- ac --- p.9Chapter 2.1.3 --- DnAC-6 --- p.9Chapter 2.2 --- Algorithms for Stability --- p.10Chapter 2.2.1 --- Bellicha --- p.10Chapter 2.2.2 --- Dynamic Dynamic Backtracking --- p.11Chapter 2.2.3 --- Wallace and Freuder --- p.12Chapter 2.2.4 --- Unimodular Probing --- p.13Chapter 2.2.5 --- Train Rescheduling --- p.14Chapter 2.3 --- Constrained Optimization Algorithms --- p.14Chapter 2.3.1 --- Guided Local Search --- p.14Chapter 2.3.2 --- Anytime CSA with Iterative Deepening --- p.15Chapter 2.4 --- A Real-life Application --- p.16Chapter 3 --- Background --- p.17Chapter 3.1 --- Fuzzy Constraint Satisfaction Problems --- p.17Chapter 3.2 --- Fuzzy GENET --- p.19Chapter 3.2.1 --- Network Architecture --- p.19Chapter 3.2.2 --- Convergence Procedure --- p.21Chapter 3.3 --- Deficiency in Fuzzy GENET --- p.24Chapter 3.4 --- Rectification of Fuzzy GENET --- p.26Chapter 4 --- Using Fuzzy GENET for Solving Stability Problems --- p.30Chapter 4.1 --- Modelling Stability Problems as FCSPs --- p.30Chapter 4.2 --- Extending Fuzzy GENET for Solving Stability Problems --- p.36Chapter 4.3 --- Experiments --- p.38Chapter 4.3.1 --- Dynamic CSP Generation --- p.39Chapter 4.3.2 --- Problems Using Hamming Distance Function --- p.41Chapter 4.3.2.1 --- Variation in Number of Variables --- p.42Chapter 4.3.2.2 --- Variation in Domain Size --- p.45Chapter 4.3.2.3 --- Variation in Density and Tightness --- p.47Chapter 4.3.3 --- Comparison in Using Different Thresholds --- p.47Chapter 4.3.4 --- Problems Using Manhattan Distance Function --- p.50Chapter 5 --- Enhancement of the Modelling Scheme --- p.56Chapter 5.1 --- Distance Bound --- p.56Chapter 5.2 --- Enhancement of Convergence Procedure --- p.57Chapter 5.3 --- Comparison with Optimal Solutions --- p.60Chapter 5.4 --- Comparison with Fuzzy GENET(dcsp) --- p.64Chapter 5.4.1 --- Medium-sized Problems --- p.64Chapter 5.4.2 --- The 150-10-15-15 Problem --- p.67Chapter 5.4.3 --- Variation in Density and Tightness --- p.73Chapter 5.4.4 --- Variation in Domain Size --- p.76Chapter 5.5 --- Analysis of Fuzzy GENET(dcsp2) --- p.94Chapter 6 --- Conclusion --- p.98Chapter 6.1 --- Contributions --- p.98Chapter 6.2 --- Future Work --- p.99Bibliography --- p.10