Category Archives: Optimization

Will LLMs replace optimization solvers?

Posted on December 13, 2025 by decisionmanagementcommunity

“It’s a tempting story. After all, LLMs can write code, generate documentation, and even produce what looks like a mathematical model. But LLMs are pattern generators. They predict the next word, token, or code snippet based on what they’ve seen … Continue reading →

Posted in LLM, Optimization, solvers | Leave a comment

Stop pretending deterministic is good enough

Posted on December 6, 2025 by decisionmanagementcommunity

This is a phrase from the latest post by Adam DeJans Jr. “We all know the world is uncertain. But what are you actually doing about it? Most of us? Running deterministic optimization and crossing our fingers. You KNOW your … Continue reading →

Posted in Decision Modeling, Digital Decisioning, Optimization, Uncertainty | Leave a comment

Challenge Dec-2025 “Inside/Outside Production”

Posted on November 27, 2025 by decisionmanagementcommunity

You need to help a manufacturer decide how much of each demanded product should be produced internally and how much should be sourced from outside. Whether a product is made inside or outside, it has an associated cost. A product … Continue reading →

Posted in Challenges, Decision Modeling, Optimization, Uncertainty | Leave a comment

IBM OPL CPLEX – Free Community Edition

Posted on November 13, 2025 by decisionmanagementcommunity

Did you know that IBM provides a FREE ILOG CPLEX Optimization Studio for individual users? You can register to download it using the link. The no-cost edition is restricted to problems up to 1,000 variables and 1,000 constraints. Flexibility to … Continue reading →

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Solutions for Oct-2025 Challenge “Decision with two objectives”

Posted on November 13, 2025 by jacobfeldman

DMCommunity.org has already received five solutions for its Oct-2025 Challenge, which asks to help a web designer to select certain website features while satisfying budget and value constraints. What makes this simple problem interesting is that it involves two conflicting … Continue reading →

Posted in Challenges, Decision Intelligence, Optimization, solvers | Leave a comment

Where business meets math

Posted on November 11, 2025 by decisionmanagementcommunity

Adam DeJans Jr. just posted an interesting comment: “My favorite optimization problems are the ones everyone assumes are already solved. The ones that SOUND simple but never really are. That’s where the real fun begins. I love working in the … Continue reading →

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Maximizing Minimum Profit while Minimizing Maximum Regret

Posted on November 10, 2025 by decisionmanagementcommunity

Dr. Meinolf Sellman shared a decision problem that deals with planning crop growth without knowing the weather. His solution is based on the proprietary multi-objective optimization that helps to find a rational compromise between maximizing the minimum profit and minimizing … Continue reading →

Posted in Algortithms, Optimization, Uncertainty | Leave a comment

Master the business problem. Let AI handle the notation.

Posted on November 3, 2025 by decisionmanagementcommunity

This is a summary of the latest post by Adam DeJans Jr. “If you’re an operations researcher who’s mad that LLMs can now formulate basic linear programs, you’ve been coasting on syntax for way too long. The optimization community is … Continue reading →

Posted in Artificial Intelligence, Human Intelligence, Optimization | Leave a comment

LION20: The 20th Learning and Intelligent OptimizatioN Conference

Posted on October 9, 2025 by decisionmanagementcommunity

The 20th Learning and Intelligent Optimization Conference (LION) will be held on 15-19 June 2026, in Milan, Italy. It will include a special session: LEARNING AND OPTIMIZATION UNDER UNCERTAINTY FOR DYNAMIC AUTONOMOUS NAVIGATION. https://www.lion20.org/

Posted in Machine Learning, Optimization, Uncertainty | 1 Comment

Making Operational Repetitive Decisions Under Uncertainty

Posted on October 1, 2025 by jacobfeldman

While just completed DecisionCAMP-2025 was dominated by the integrated use of Generative AI (LLMs) and Symbolic AI (Rules, Machine Learning, Optimization), in my closing notes I concentrated on the topic of making repetitive operational decisions in the real-world, frequently uncertain environments. In this article, I … Continue reading →

Posted in Decision Intelligence, Decision Making, Forecasting, Machine Learning, Optimization, Uncertainty | Leave a comment