PyCSP3: Modeling Combinatorial Constrained Problems in Python

التفاصيل البيبلوغرافية
العنوان: PyCSP3: Modeling Combinatorial Constrained Problems in Python
المؤلفون: Lecoutre, Christophe, Szczepanski, Nicolas
سنة النشر: 2020
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Artificial Intelligence
الوصف: In this document, we introduce PyCSP$3$, a Python library that allows us to write models of combinatorial constrained problems in a declarative manner. Currently, with PyCSP$3$, you can write models of constraint satisfaction and optimization problems. More specifically, you can build CSP (Constraint Satisfaction Problem) and COP (Constraint Optimization Problem) models. Importantly, there is a complete separation between the modeling and solving phases: you write a model, you compile it (while providing some data) in order to generate an XCSP$3$ instance (file), and you solve that problem instance by means of a constraint solver. You can also directly pilot the solving procedure in PyCSP$3$, possibly conducting an incremental solving strategy. In this document, you will find all that you need to know about PyCSP$3$, with more than 50 illustrative models.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2009.00326
رقم الأكسشن: edsarx.2009.00326
قاعدة البيانات: arXiv