Category Archives: Constraint Programming

AI4OPT: AI for Optimization

Posted on July 10, 2023 by decisionmanagementcommunity

AI4OPT, NSF Artificial Intelligence Research Institute for Advances in Optimization, aims at delivering a paradigm shift in automated decision making at massive scales by fusing AI and Mathematical Optimization, to deliver breakthroughs that neither field can achieve independently. The Institute … Continue reading →

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MiniCP: A lightweight Java Constraint Programming Solver

Posted on May 19, 2023 by decisionmanagementcommunity

Many decision problems (logistics, production, space, etc.) aiming at an optimal use of resources can be formulated as constraint combinatorial optimization problems. Unfortunately, these problems are difficult to solve mainly for two reasons: 1) They require complex algorithms to design … Continue reading →

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AAAI-23 Constraint Programming and Machine Learning Bridge

Posted on November 16, 2022 by decisionmanagementcommunity

The AAAI-23 Constraint Programming and Machine Learning Bridge is part of the AAAI-23 Bridge Program. Bringing together CP (Constraint Programming) and ML (Machine Learning) is an important aspect of the larger goal of integrating Reasoning and Learning. Participants are not expected to … Continue reading →

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Christopher Columbus, global warming and mathematical optimization

Posted on August 30, 2022 by decisionmanagementcommunity

In this highly popular article IBM’s Alex Fleischer wrote: “One of the levers is the mathematical optimization of business decision making, made possible by data and the deployment of decision models associated with constraint programming. Or, put more simply: an algorithm … Continue reading →

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2022 is the Year of Prolog

Posted on June 14, 2022 by decisionmanagementcommunity

In the summer of 1972, Alain Colmerauer and his team in Marseille developed and implemented the first version of the logic programming language Prolog. Together with Robert Kowalski and his colleagues in Edinburgh, this work laid the practical and theoretical … Continue reading →

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Connecting the Dots

Posted on December 20, 2021 by decisionmanagementcommunity

If someone gives us a collection of points, how should we connect them? Should we try to pair them up? Should we try to join them together to form a single loop? Should we try something else? And once we’ve … Continue reading →

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Everything old is new again

Posted on April 21, 2021 by decisionmanagementcommunity

Prof. Gene Freuder writes about Human-Centered AI: “human-centered”, “human-aware“, “human-AI collaboration” are, rightly, very prominent nowadays. But “everything old is new again”: I ran across an interesting twenty-year-old paper from the European Journal of Operational Research on Human centered processes and decision support … Continue reading →

Posted in Business Rules, Constraint Programming, Decision Making, Human-Machine Interaction, Machine Learning | Leave a comment

Vaccination Scheduling Decisions

Posted on March 25, 2021 by decisionmanagementcommunity

Geoffrey De Smet created a vaccination scheduling software. He discovered an interesting Vaccination Appointment Scheduling Paradox: It’s more user friendly if people can NOT choose their own appointment. Watch video

Posted in Constraint Programming, Coronavirus, Decision Modeling, Optimization, Scheduling and Resource Allocation | Leave a comment

Solving Assembly Line Balancing Problem

Posted on December 3, 2020 by jacobfeldman

Philippe Laborie from IBM CPLEX team shared several models for representation and solving an optimization problem in assembly line balancing research. His solutions are shown in Python CP Optimizer and OPL: they are not only very compact but highly efficient. … Continue reading →

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Consuming Optimization models for Operational Decisions

Posted on July 3, 2020 by decisionmanagementcommunity

During DecisionCAMP-2020, we had several presentations devoted to incorporation of Optimization Engines in Business Decision Models: 1) Developing Decision Optimization Microservices for Real-World Decision-Making Applications by Jacob Feldman; 2)  cDMN: Combining DMN with Constraint Reasoning by a KU Leuven’s team.

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