ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems. The open source ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...

Whether you are a technology enthusiast or a professional looking to enhance your scripting skills, we have designed this Windows PowerShell scripting tutorial for beginners, especially for you. So, ...

Datasets related to the paper: "Improving the efficiency of Euclidean TSP solving in Constraint Programming by predicting effective nocrossing constraints" (Elena Bellodi, Alessandro Bertagnon, Marco ...

We describe a new active-set, cutting-plane Constraint Optimal Selection Technique (COST) for solving general linear programming problems. We describe strategies to bound the initial problem and ...

Abstract: In constraint programming, enumeration strategies are crucial for resolution performances. In this work, we model the known NP-complete problems Latin Square, Magic Square and Sudoku as a ...