May 1, 2024
Updated May 9, 2025
21 minute read
Constraint Programming (CP) is a powerful problem-solving technique used to find solutions to complex combinatorial problems. At its core, CP involves defining a problem in terms of variables, the possible values those variables can take (domains), and a set of rules or relationships (constraints) that must be satisfied. Instead of specifying a sequence of steps to find a solution, as in imperative programming, CP focuses on describing the properties of a valid solution. The system then uses specialized algorithms, known as solvers, to explore the possible combinations of variable values and identify those that satisfy all constraints.
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Reading list
We've selected 26 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Constraint Programming.
Introduces basic and advanced techniques in constraint programming. Provides a comprehensive overview of the history of the area. The book serves as an excellent reference for students and researchers in constraint programming.
This comprehensive handbook provides a broad overview of the field of Constraint Programming, covering its foundations, techniques, extensions, and applications. It is an excellent resource for gaining a broad understanding and can also serve as a valuable reference for researchers and practitioners. While published in 2006, it remains a foundational text that covers the core concepts in detail.
This book, part of a respected AI series, delves into the theory underlying constraint processing algorithms. It's a valuable resource for graduate students and researchers, offering a detailed look at fundamental tools and principles with an emphasis on algorithm analysis.
Provides a comprehensive introduction to Constraint Programming, particularly focusing on constraint logic programming. It covers necessary background material from related fields and discusses constraint-solving techniques and programming methodologies. It good starting point for those new to the field and can be used as a textbook.
This textbook offers a structured account of the main aspects of Constraint Programming. It includes worked examples and exercises, making it suitable for upper-division undergraduate students. It helps solidify understanding of the core principles and techniques.
A reprint of the classic 1993 text, this book remains a foundational work defining the scope of constraint satisfaction. It covers both theoretical and practical aspects and is highly cited in the field. It's essential for a deep understanding of the subject's origins and core concepts.
Provides a comprehensive and accessible introduction to constraint programming. is suitable for students, researchers, and practitioners in computer science and related fields with no prior knowledge of constraint programming.
Considered a classic in the field, this book was one of the first to define the scope of constraint satisfaction. It covers both theoretical and implementation aspects and provides a framework for studying the subject. While an older publication, it remains a valuable resource for understanding the foundational concepts.
This concise book presents a complete overview of constraint programming and reasoning, covering theoretical foundations, algorithms, implementations, examples, and applications. It is suitable for graduate students, researchers, and practitioners and can help deepen understanding of the subject.
Provides a comprehensive overview of constraint satisfaction problems. focuses on the theoretical foundations of constraint satisfaction.
Covers the state-of-the-art in constraint-based local search. valuable resource for researchers and practitioners in constraint programming and optimization.
Focuses on a key application area of Constraint Programming: scheduling. It demonstrates how CP techniques can be applied to solve complex scheduling problems, providing valuable insights for those interested in this specific domain. It can be used as supplementary reading for courses covering optimization and scheduling.
Covers Constraint Satisfaction Problems, which are at the core of Constraint Programming. It likely bridges the gap between theoretical concepts and practical applications, making it useful for both students and practitioners.
This edited volume brings together papers on various topics in Constraint Programming, reflecting current research and trends in the field. It is suitable for researchers and advanced students who want to explore contemporary topics and recent developments.
Covers the design and implementation of programming languages for constraint programming. valuable resource for researchers and practitioners in constraint programming and language design.
Focuses on OPL, a modeling language widely used in optimization, including Constraint Programming. It practical guide for learning how to model and solve problems using a specific CP system, valuable for students and professionals. (Note: Finding a recent ISBN proved challenging, focus on the content's relevance).
This represents the proceedings of a recent international conference on Constraint Programming. It offers a glimpse into the latest research, trends, and advanced topics being discussed in the field, suitable for researchers and those seeking cutting-edge information.
Introduces the basic concepts of constraint satisfaction problems. valuable resource for students and researchers in constraint programming.
Introduces a class of programming languages based on computing with constraints in a concurrent setting. It's a more specialized topic within the broader field of constraint programming, suitable for those interested in the theoretical foundations of concurrent constraint languages.
Includes a chapter on Constraint Programming within the context of optimization for process systems engineering. While not solely focused on CP, the chapter can provide insights into its application in a specific domain and its relationship with other optimization techniques.
This series that often includes volumes related to Constraint Programming, such as conference proceedings and讲义 (lectures). While not a single book, following this series can provide access to current research and specialized topics. The relevance and difficulty vary greatly depending on the specific volume.
Introduces the concept of constraint propagation. valuable resource for researchers and practitioners in constraint programming and optimization.
This widely used AI textbook includes chapters on constraint satisfaction problems and their solving techniques. It provides a good introduction to CP within the broader context of artificial intelligence, suitable for students gaining a broad understanding of AI. (Note: Only a portion of this book is directly relevant to CP).
While not directly about Constraint Programming, this book classic in programming language design and can provide valuable background for understanding the implementation of CP languages and solvers. It's more relevant for those interested in the underlying technology. (Note: This classic computer science text, not specific to CP).
For more information about how these books relate to this course, visit:
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