The car sequencing problem: Overview of state-of-the-art methods and industrial case-study of the ROADEF'2005 challenge problem

C Solnon, A Nguyen, C Artigues - European Journal of Operational …, 2008 - Elsevier
The ROADEF challenge is organized every two years by the French Society of Operations
Research and Decision-Making Aid. The goal is to allow industrial partners to witness recent …

[图书][B] Handbook of constraint programming

F Rossi, P Van Beek, T Walsh - 2006 - books.google.com
Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

The TPTP problem library and associated infrastructure: from CNF to TH0, TPTP v6. 4.0

G Sutcliffe - Journal of Automated Reasoning, 2017 - Springer
This paper describes the TPTP problem library and associated infrastructure, from its use of
Clause Normal Form (CNF), via the First-Order Form (FOF) and Typed First-order Form …

MiniZinc: Towards a standard CP modelling language

N Nethercote, PJ Stuckey, R Becket, S Brand… - … on Principles and …, 2007 - Springer
There is no standard modelling language for constraint programming (CP) problems. Most
solvers have their own modelling language. This makes it difficult for modellers to …

PrefLib: A Library for Preferences http://www.preflib.org

N Mattei, T Walsh - … Decision Theory: Third International Conference, ADT …, 2013 - Springer
Abstract We introduce PrefLib: A Library for Preferences; an online resource located at
http://www. preflib. org. With the emergence of computational social choice and an increased …

The TPTP problem library and associated infrastructure: The FOF and CNF parts, v3. 5.0

G Sutcliffe - Journal of Automated Reasoning, 2009 - Springer
This paper describes the First-Order Form (FOF) and Clause Normal Form (CNF) parts of the
TPTP problem library, and the associated infrastructure. TPTP v3. 5.0 was the last release …

Decision-focused learning: Through the lens of learning to rank

J Mandi, V Bucarey, MMK Tchomba… - … on machine learning, 2022 - proceedings.mlr.press
In the last years decision-focused learning framework, also known as predict-and-optimize,
have received increasing attention. In this setting, the predictions of a machine learning …

[图书][B] Constraint-based local search

PV Hentenryck, L Michel - 2009 - dl.acm.org
The ubiquity of combinatorial optimization problems in our society is illustrated by the novel
application areas for optimization technology, which range from supply chain management …

Mechanized Metatheory for the Masses: The PoplMark Challenge

BE Aydemir, A Bohannon, M Fairbairn… - Theorem Proving in …, 2005 - Springer
How close are we to a world where every paper on programming languages is
accompanied by an electronic appendix with machine-checked proofs? We propose an …

Apreflib. org retrospective: Lessons learned and new directions

N Mattei, T Walsh - Trends in Computational Social Choice, 2017 - books.google.com
The Internet enables computers and (by proxy) humans to communicate at distances and
speeds previously unimaginable. Many of the benefits from this technology are derived from …