Quantified weighted constraint satisfaction problems.

Mak, Wai Keung Terrence. === Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. === Includes bibliographical references (p. 100-104). === Abstracts in English and Chinese. === Chapter 1 --- Introduction --- p.1 === Chapter 1.1 --- Constraint Satisfaction Problems --- p.1 === Chapter 1.2 ---...

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Other Authors: Mak, Wai Keung Terrence.
Format: Others
Language:English
Chinese
Published: 2011
Subjects:
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spelling ndltd-cuhk.edu.hk-oai-cuhk-dr-cuhk_3273442019-02-19T03:32:43Z Quantified weighted constraint satisfaction problems. Constraints (Artificial intelligence) Constraint programming (Computer science) Mak, Wai Keung Terrence. Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. Includes bibliographical references (p. 100-104). Abstracts in English and Chinese. Chapter 1 --- Introduction --- p.1 Chapter 1.1 --- Constraint Satisfaction Problems --- p.1 Chapter 1.2 --- Weighted Constraint Satisfaction Problems --- p.2 Chapter 1.3 --- Quantified Constraint Satisfaction Problems --- p.3 Chapter 1.4 --- Motivation and Goal --- p.4 Chapter 1.5 --- Outline of the Thesis --- p.6 Chapter 2 --- Background --- p.7 Chapter 2.1 --- Constraint Satisfaction Problems --- p.7 Chapter 2.1.1 --- Backtracking Tree Search --- p.9 Chapter 2.1.2 --- Local Consistencies for solving CSPs --- p.11 Node Consistency (NC) --- p.13 Arc Consistency (AC) --- p.14 Searching by Maintaining Arc Consistency --- p.16 Chapter 2.1.3 --- Constraint Optimization Problems --- p.17 Chapter 2.2 --- Weighted Constraint Satisfaction Problems --- p.19 Chapter 2.2.1 --- Branch and Bound Search (B&B) --- p.23 Chapter 2.2.2 --- Local Consistencies for WCSPs --- p.25 Node Consistency --- p.26 Arc Consistency --- p.28 Chapter 2.3 --- Quantified Constraint Satisfaction Problems --- p.32 Chapter 2.3.1 --- Backtracking Free search --- p.37 Chapter 2.3.2 --- Consistencies for QCSPs --- p.38 Chapter 2.3.3 --- Look Ahead for QCSPs --- p.45 Chapter 3 --- Quantified Weighted CSPs --- p.48 Chapter 4 --- Branch & Bound with Consistency Techniques --- p.54 Chapter 4.1 --- Alpha-Beta Pruning --- p.54 Chapter 4.2 --- Consistency Techniques --- p.57 Chapter 4.2.1 --- Node Consistency --- p.62 Overview --- p.62 Lower Bound of A-Cost --- p.62 Upper Bound of A-Cost --- p.66 Projecting Unary Costs to Cθ --- p.67 Chapter 4.2.2 --- Enforcing Algorithm for NC --- p.68 Projection Phase --- p.69 Pruning Phase --- p.69 Time Complexity --- p.71 Chapter 4.2.3 --- Arc Consistency --- p.73 Overview --- p.73 Lower Bound of A-Cost --- p.73 Upper Bound of A-Cost --- p.75 Projecting Binary Costs to Unary Constraint --- p.75 Chapter 4.2.4 --- Enforcing Algorithm for AC --- p.76 Projection Phase --- p.77 Pruning Phase --- p.77 Time complexity --- p.79 Chapter 5 --- Performance Evaluation --- p.83 Chapter 5.1 --- Definitions of QCOP/QCOP+ --- p.83 Chapter 5.2 --- Transforming QWCSPs into QCOPs --- p.90 Chapter 5.3 --- Empirical Evaluation --- p.91 Chapter 5.3.1 --- Random Generated Problems --- p.92 Chapter 5.3.2 --- Graph Coloring Game --- p.92 Chapter 5.3.3 --- Min-Max Resource Allocation Problem --- p.93 Chapter 5.3.4 --- Value Ordering Heuristics --- p.94 Chapter 6 --- Concluding Remarks --- p.96 Chapter 6.1 --- Contributions --- p.96 Chapter 6.2 --- Limitations and Related Works --- p.97 Chapter 6.3 --- Future Works --- p.99 Bibliography --- p.100 Mak, Wai Keung Terrence. Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. 2011 Text bibliography print ix, 104 p. : ill. ; 30 cm. cuhk:327344 http://library.cuhk.edu.hk/record=b5894615 eng chi Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) http://repository.lib.cuhk.edu.hk/en/islandora/object/cuhk%3A327344/datastream/TN/view/Quantified%20weighted%20constraint%20satisfaction%20problems.jpghttp://repository.lib.cuhk.edu.hk/en/item/cuhk-327344
collection NDLTD
language English
Chinese
format Others
sources NDLTD
topic Constraints (Artificial intelligence)
Constraint programming (Computer science)
spellingShingle Constraints (Artificial intelligence)
Constraint programming (Computer science)
Quantified weighted constraint satisfaction problems.
description Mak, Wai Keung Terrence. === Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. === Includes bibliographical references (p. 100-104). === Abstracts in English and Chinese. === Chapter 1 --- Introduction --- p.1 === Chapter 1.1 --- Constraint Satisfaction Problems --- p.1 === Chapter 1.2 --- Weighted Constraint Satisfaction Problems --- p.2 === Chapter 1.3 --- Quantified Constraint Satisfaction Problems --- p.3 === Chapter 1.4 --- Motivation and Goal --- p.4 === Chapter 1.5 --- Outline of the Thesis --- p.6 === Chapter 2 --- Background --- p.7 === Chapter 2.1 --- Constraint Satisfaction Problems --- p.7 === Chapter 2.1.1 --- Backtracking Tree Search --- p.9 === Chapter 2.1.2 --- Local Consistencies for solving CSPs --- p.11 === Node Consistency (NC) --- p.13 === Arc Consistency (AC) --- p.14 === Searching by Maintaining Arc Consistency --- p.16 === Chapter 2.1.3 --- Constraint Optimization Problems --- p.17 === Chapter 2.2 --- Weighted Constraint Satisfaction Problems --- p.19 === Chapter 2.2.1 --- Branch and Bound Search (B&B) --- p.23 === Chapter 2.2.2 --- Local Consistencies for WCSPs --- p.25 === Node Consistency --- p.26 === Arc Consistency --- p.28 === Chapter 2.3 --- Quantified Constraint Satisfaction Problems --- p.32 === Chapter 2.3.1 --- Backtracking Free search --- p.37 === Chapter 2.3.2 --- Consistencies for QCSPs --- p.38 === Chapter 2.3.3 --- Look Ahead for QCSPs --- p.45 === Chapter 3 --- Quantified Weighted CSPs --- p.48 === Chapter 4 --- Branch & Bound with Consistency Techniques --- p.54 === Chapter 4.1 --- Alpha-Beta Pruning --- p.54 === Chapter 4.2 --- Consistency Techniques --- p.57 === Chapter 4.2.1 --- Node Consistency --- p.62 === Overview --- p.62 === Lower Bound of A-Cost --- p.62 === Upper Bound of A-Cost --- p.66 === Projecting Unary Costs to Cθ --- p.67 === Chapter 4.2.2 --- Enforcing Algorithm for NC --- p.68 === Projection Phase --- p.69 === Pruning Phase --- p.69 === Time Complexity --- p.71 === Chapter 4.2.3 --- Arc Consistency --- p.73 === Overview --- p.73 === Lower Bound of A-Cost --- p.73 === Upper Bound of A-Cost --- p.75 === Projecting Binary Costs to Unary Constraint --- p.75 === Chapter 4.2.4 --- Enforcing Algorithm for AC --- p.76 === Projection Phase --- p.77 === Pruning Phase --- p.77 === Time complexity --- p.79 === Chapter 5 --- Performance Evaluation --- p.83 === Chapter 5.1 --- Definitions of QCOP/QCOP+ --- p.83 === Chapter 5.2 --- Transforming QWCSPs into QCOPs --- p.90 === Chapter 5.3 --- Empirical Evaluation --- p.91 === Chapter 5.3.1 --- Random Generated Problems --- p.92 === Chapter 5.3.2 --- Graph Coloring Game --- p.92 === Chapter 5.3.3 --- Min-Max Resource Allocation Problem --- p.93 === Chapter 5.3.4 --- Value Ordering Heuristics --- p.94 === Chapter 6 --- Concluding Remarks --- p.96 === Chapter 6.1 --- Contributions --- p.96 === Chapter 6.2 --- Limitations and Related Works --- p.97 === Chapter 6.3 --- Future Works --- p.99 === Bibliography --- p.100
author2 Mak, Wai Keung Terrence.
author_facet Mak, Wai Keung Terrence.
title Quantified weighted constraint satisfaction problems.
title_short Quantified weighted constraint satisfaction problems.
title_full Quantified weighted constraint satisfaction problems.
title_fullStr Quantified weighted constraint satisfaction problems.
title_full_unstemmed Quantified weighted constraint satisfaction problems.
title_sort quantified weighted constraint satisfaction problems.
publishDate 2011
url http://library.cuhk.edu.hk/record=b5894615
http://repository.lib.cuhk.edu.hk/en/item/cuhk-327344
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