Best Reference Books – Constraint Satisfaction Problems

«
»
We have compiled the list of Top 10 Best Reference Books on Constraint Satisfaction Problems subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Constraint Satisfaction Problems along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Constraint Satisfaction Problems subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Constraint Satisfaction Problems" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems” by Anastasia Paparrizou

Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems” Book Review: The book deals with constraint programming (CP) which is a powerful programming paradigm for solving combinatorial sat-isfaction and optimization search problems. The contents in this book are:Introduction-( Definition of the problem, Contributions, Structure and content), Background- (Constraint Satisfaction Problems, Formal Definitions, Constraint Propagation, Backtracking search algorithms,Maintaining a local consistency during search, Variable/Value ordering heuristics , Branching schemes, Constraint Solvers, Our CSP solver), Related work-( Binary Constraints, Arc Consistency, Strong local consistencies, Non-Binary Constraints, Generalized Arc Consistency, Bounds consistency,Strong Local Consistencies, Relation Filtering Consistencies, Table Constraints, Adaptive Propagation), New efficient maxRPC algorithms for Binary CSPs – ( Introduction, New Algorithms for maxRPC, maxRPC3, maxRPC3rm, Light maxRPC, Correctness and Complexities, Further exploitation of residues in maxRPC algorithms, maxRPC3-resOpt, maxRPC3-start, Heuristics for maxRPC Algorithms, Experiments, d-way branching, Heuristics, Interleaving AC and maxRPC, Conclusion), Strong Local Consistencies for Non-Binary (Table) Constraints-( Introduction, Algorithm maxRPWC+, Algorithm description, Theoretical Results, A lighter version of maxRPWC+, Extending STR to a higher-order consistency, The HOSTR* algorithm, Theoretical Results, Experiments, Preprocessing, Search, maxRPWC+ for Intentional Constraints, An extension of GAC 2001/3.1 derived from maxRPWC+ , Comparing GAC+ to GAC 2001/3.1, Conclusion) Higher-order Consistencies for Table Constraints using Counters-( Introduction, Extending STR, Enforcing FPWC, Experimental Results, Conclusion) Adaptive Propagation-( Introduction, Adaptive Propagator Selection, Experiments, Evaluating the heuristics, Are revisions after DWOs important?, Refining the heuristics, Effects of different Queue ordering and Branching scheme, Conclusion) Strong Bounds Consistencies 11 Introduction, PairWise Bounds Consistency, Linear constraints, Preliminaries).

2. “Constraint Satisfaction Problems: CSP Formalisms and Techniques (Computer Engineering and It)” by Khaled Ghedira

advertisement
“Constraint Satisfaction Problems: CSP Formalisms and Techniques (Computer Engineering and It)” Book Review: The book deals with Constraint Satisfaction Problem (CSP) which consists of a set of variables, a domain of values for each variable and a set of constraints. The objective is to assign a value for each variable such that all constraints are satisfied. The contents in this book include:Foundations of CSP, Consistency Reinforcement Techniques, CSP Solving Algorithms, Search Heuristics, Learning Techniques, Maximal Constraint Satisfaction Problems, Constraint Satisfaction and Optimization Problems, Distributed Constraint Satisfaction Problems.

3. “Constraint Satisfaction Techniques for Agent-Based Reasoning (Whitestein Series in Software Agent Technologies and Autonomic Computing)” by Nicoleta Neagu

“Constraint Satisfaction Techniques for Agent-Based Reasoning (Whitestein Series in Software Agent Technologies and Autonomic Computing)” Book Review: This book consists of new techniques for solving constraint satisfaction problems, with a special focus on solution adaptation applied to agent reasoning The contents of the book are:- Introduction, Interchangeability and Solution Adaptation in Crisp CSPs, Interchangeability in Soft CSPs, Multi Agent Computation of Interchangeability in Distributed CSPs, Interchangeability in Dynamic Environments, Generic Case Adaptation Framework, Conclusions.

4. “Distributed Constraint Satisfaction: Foundations of Cooperation in Multi-agent Systems (Springer Series on Agent Technology)” by Makoto Yokoo

advertisement
advertisement
“Distributed Constraint Satisfaction: Foundations of Cooperation in Multi-agent Systems (Springer Series on Agent Technology)” Book Review: This book gives an overview of the research on distributed CSPs, as well as introductory material on CSPs. The contents in this book include:- Constraint Satisfaction Problem, Distributed Constraint Satisfaction Problem, Asynchronous Backtracking, Asynchronous Weak-Commitment Search, Distributed Breakout, Distributed Consistency Algorithm, Handling Multiple Local Variables, Handling Over-Constrained Situations, Summary and Future Issues.

5. “Multiobjective Optimization: Interactive and Evolutionary Approaches (Lecture Notes in Computer Science)” by Jürgen Branke and Kalyanmoy Deb

“Multiobjective Optimization: Interactive and Evolutionary Approaches (Lecture Notes in Computer Science)” Book Review: This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the 5 thematic sections.The contents of the book are:- Introduction to Multiobjective Optimization: Noninteractive Approaches, Introduction to Multiobjective Optimization: Interactive Approaches, Introduction to Evolutionary Multiobjective Optimization, Interactive Multiobjective Optimization Using a Set of Additive Value Functions, Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization, Consideration of Partial User Preferences in Evolutionary Multiobjective Optimization, Interactive Multiobjective Evolutionary Algorithms, Visualization in the Multiple ObjectiveDecision-Making Framework, Visualizing the Pareto Frontier, Meta-Modeling in Multiobjective Optimization, Real-World Applications of Multiobjective Optimization, Multiobjective Optimization Software, Parallel Approaches for Multiobjective Optimization, Quality Assessment of Pareto Set Approximations, Interactive Multiobjective Optimization from Learning Perspective, Future Challenges.

6. “Complexity Classifications of Boolean Constraint Satisfaction Problems (Monographs on Discrete Mathematics and Applications)” by Nadia Creignou and Sanjeev Khanna

advertisement
“Complexity Classifications of Boolean Constraint Satisfaction Problems (Monographs on Discrete Mathematics and Applications)” Book Review: This book presents a nearly complete classification of various restricted classes of computational problems called Boolean constraint satisfaction problems. The contents of the book are:- Introduction, Complexity Classes,Pages, Boolean Constraint Satisfaction Problems, Characterizations of Constraint Functions, Implementation of Functions and Reductions, Classification Theorems for Decision, Counting and Quantified Problems, Classification Theorems for Optimization Problems, Input-Restricted Constraint Satisfaction Problems, The Complexity of the Meta-Problems, Concluding Remarks.

7. “Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations)” by Jiming Liu and XiaoLong Jin

“Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations)” by Jiming Liu and XiaoLong Jin Book Review: The book describes the basic concepts and characteristics of an AOC system, and then it enumerates the critical design and engineering issues faced in AOC system development and it also describes AOC in Depth, provides a detailed analysis of methodologies and case studies to evaluate the use of AOC in problem solving and complex system modeling. The final chapter reviews the essential features of the AOC paradigm and outlines a number of possibilities for future research and development. The contents of this book are:- From Autonomy to AOC, AOC at a Glance, Design and Engineering Issues, A Formal Framework of AOC, AOC in Constraint Satisfaction, AOC in Complex Systems Modeling, AOC in Optimization, Challenges and Opportunities. Numerous illustrative examples, experimental case studies, and exercises at the end of each chapter of Autonomy Oriented Computing.

8. “Combinatorial Search: From Algorithms to Systems” by Youssef Hamadi

advertisement
“Combinatorial Search: From Algorithms to Systems” Book Review: In this book the author focuses on knowledge sharing in combinatorial search. The contents of the book are :- Introduction, Boosting Distributed Constraint Networks, Parallel Tree Search for Satisfiability, Parallel Local Search for Satisfiability, Learning Variable Dependencies, Continuous Search, Autonomous Search, Conclusion and Perspectives. The book is suitable for researchers, practitioners, and graduate students working in the areas of optimization, search, constraints, and computational complexity.

9. “The Complexity of Valued Constraint Satisfaction Problems (Cognitive Technologies)” by imusti

“The Complexity of Valued Constraint Satisfaction Problems (Cognitive Technologies)” Book Review: This book is presented with general techniques for analysing the structure of such functions and the computational complexity of the minimisation problem.
The contents are:- Background, Expressibility of Valued Constraints, Expressibility of Fixed-Arity Languages, Expressibility of Submodular Languages, Non-expressibility of Submodular Languages, Tractable Languages, Conservative Languages, The Power of Linear,Programming, Hybrid Tractability, Summary and Open Problems. The book is suitable for researchers interested in methods and results from the area of constraint programming and discrete optimisation.

10. “Semirings for Soft Constraint Solving and Programming (Lecture Notes in Computer Science)” by Stefano Bistarelli

advertisement
“Semirings for Soft Constraint Solving and Programming (Lecture Notes in Computer Science)” Book Review: This book is based on understanding the basics of semiring-based soft constraints.The contents of the book are :- Introduction, Soft Constraint Satisfaction Problems, Towards SCSPs Solutions, SCSP Abstraction, Higher Order Semiring-Based Constraints, Soft CLP, SCLP and Generalized Shortest Path Problems, Soft Concurrent Constraint Programming, Interchangeability in Soft CSPs, SCSPs for Modelling Attacks to Security Protocols, Conclusions and Directions for Future Work.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Constraint Satisfaction Problems – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Constraint Satisfaction Problems" so that one can readily see the list of top books on "Constraint Satisfaction Problems" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Constraint Satisfaction Problems subject, please let us know.

Sanfoundry Global Education & Learning Series – Best Reference Books!

Participate in the Sanfoundry Certification contest to get free Certificate of Merit. Join our social networks below and stay updated with latest contests, videos, internships and jobs!
advertisement
advertisement
Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter