Category Archives: Decision Optimization

Decision Optimization Technologies

Mathematical Optimization: Past, Present, and Future

Posted on April 10, 2020 by decisionmanagementcommunity

In his 2-parts blog series, Gurobi Co-Founder Dr. Robert Bixby  takes us through the history of mathematical optimization from the 1940s until today. “Generally speaking, mathematical optimization has firmly established itself as a powerful problem-solving approach in today’s business world. … Continue reading →

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Planning Analytics + Decision Optimization

Posted on March 9, 2020 by decisionmanagementcommunity

Alain Chabrier from IBM discusses how Planning Analytics and Decision Optimization can complement and benefit from each other and introduces some ways to start integrating them. Link

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Christmas Challenge at Kaggle

Posted on December 14, 2019 by decisionmanagementcommunity

“Santa has exciting news! For 100 days before Christmas, he opened up tours to his workshop. Because demand was so strong, and because Santa wanted to make things as fair as possible, he let each of the 5,000 families that … Continue reading →

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New release of MiniZinc

Posted on December 13, 2019 by decisionmanagementcommunity

MiniZinc is a free and open-source constraint modeling language. You can use MiniZinc to model constraint satisfaction and optimization problems in a high-level, solver-independent way, taking advantage of a large library of pre-defined constraints. Your model is then compiled into FlatZinc, a solver input language … Continue reading →

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Success Stories of Decision Optimization

Posted on November 29, 2019 by decisionmanagementcommunity

From lifesaving discoveries, to increased efficiencies, to billions in savings realized, Operations Research (OR) and Analytics are making significant impact every day by optimizing real-world decisions. See  success stories described at the INFORMS website and IBM.

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Chaining Machine Learning and Optimization Models

Posted on October 24, 2019 by decisionmanagementcommunity

In this article Nathan Brixius describes three relationships between optimization and machine learning: Optimization as a means for doing machine learning Machine learning as a means for doing optimization Using the results of machine learning as input data for an … Continue reading →

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Bringing Analytics to the Soccer Transfer Season

Posted on June 18, 2019 by decisionmanagementcommunity

SAS posted an article that shares how they applied analytics to optimize players movements between clubs during the soccer transfer season. Every team needs to answer the ultimate question: “How should we allocate our transfer budget to maximize the benefit … Continue reading →

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2019 Survey of Software for Linear Programming

Posted on May 26, 2019 by decisionmanagementcommunity

Prof. Robert Fourer, who will be our presenter at DecisionCAMP-2019, just published the results of the 2019 Linear Programming (LP) Survey.  LP software can be very effectively used for Decision Optimization problems which deal with minimizing or maximizing business objectives subject … Continue reading →

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Optimization and Machine Learning with Excel Online

Posted on May 22, 2019 by decisionmanagementcommunity

Frontline Systems has released Analytic Solver® V2019, a SaaS (software as a service) cloud and desktop platform that offers Excel-savvy business analysts point-and-click tools to create predictive and prescriptive analytics models themselves, without needing expert data scientists or programmers. Both … Continue reading →

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CP-2019 Workshop on Progress Towards the Holy Grail

Posted on May 21, 2019 by jacobfeldman

In 1997 in the paper “In Pursuit of the Holy Grail” Prof. Gene Freuder proposed that Constraint Programming was well-positioned to pursue the Holy Grail of computer science: the user simply states the problem and the computer solves it.  Twenty … Continue reading →

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