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This book introduces a novel approach to discrete optimization,
providing both theoretical insights and algorithmic developments
that lead to improvements over state-of-the-art technology. The
authors present chapters on the use of decision diagrams for
combinatorial optimization and constraint programming, with
attention to general-purpose solution methods as well as
problem-specific techniques. The book will be useful for
researchers and practitioners in discrete optimization and
constraint programming. "Decision Diagrams for Optimization is one
of the most exciting developments emerging from constraint
programming in recent years. This book is a compelling summary of
existing results in this space and a must-read for optimizers
around the world." [Pascal Van Hentenryck]
This book introduces a novel approach to discrete optimization,
providing both theoretical insights and algorithmic developments
that lead to improvements over state-of-the-art technology. The
authors present chapters on the use of decision diagrams for
combinatorial optimization and constraint programming, with
attention to general-purpose solution methods as well as
problem-specific techniques. The book will be useful for
researchers and practitioners in discrete optimization and
constraint programming. "Decision Diagrams for Optimization is one
of the most exciting developments emerging from constraint
programming in recent years. This book is a compelling summary of
existing results in this space and a must-read for optimizers
around the world." [Pascal Van Hentenryck]
This book constitutes the proceedings of the 20th International
Conference on the Integration of Constraint Programming, Artificial
Intelligence, and Operations Research, CPAIOR 2022, held in Nice,
France, during May 29–June 1, 2023. The 26 full papers and the 6
short papers presented in this book were carefully reviewed and
selected from a total of 71 submissions. The content of the papers
present new techniques or new applications, and provide an
opportunity for researchers in one area to learn about techniques
in the others. Besides they give researchers the opportunity to
show how the integration of techniques from different fields can
lead to interesting results on large and complex problems.
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