Category Archives: Optimization

Multiple valid solutions to a business problem

John Brandon Elam wrote today: “You can actually tell the solver to generate multiple valid solutions to a problem, not just the single ‘best’ one. For me, as a Product Owner, that’s huge. Why? Because business stakeholders don’t live and … Continue reading

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LLM humanizes Optimization Solver’s results

Tiago de Morais Montanher altered the data for the classic transportation problem to render the problem infeasible. Then he called the conflict refiner from CPLEX to obtain a list with 5 points like the one below: _TConflictConstraint(name=’capacity_seattle’, element=docplex.mp.LinearConstraint[capacity_seattle](quantity_seattle_new_york+quantity_seattle_chicago+quantity_seattle_topeka,LE,350), status=<ConflictStatus.Member: 3>) … Continue reading

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Constraint Modeling Challenge

The annual MiniZinc Challenge celebrates the state of the art in constraint modelling and solving. Across the different problems, this year’s result once again highlighted the diversity of approaches, pushing the boundaries of what’s possible in modelling and solving complex problems. Here are … Continue reading

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Decision-Making Under Uncertainty

Uncertainty is the environment in which our decision models frequently operate. What drives real decisions under real uncertainty? Adam DeJans Jr. unpacks why most “optimization” efforts fail under real-world uncertainty in the 5-part mini-series: Optimization under uncertainty needs to be … Continue reading

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Explaining Solutions of Combinatorial Optimization

DecisionBrain is actively investigating the topic of explaining Combinatorial Optimization results. Drawing from principles in both Social Sciences and Artificial Intelligence, they highlighted two key types of explanations, contrastive and counterfactual explanations, and discussed their relevance in decision-support systems. Link

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Challenge April-2025 “Case Assignments”

An analytical firm assigns different cases to its analysts using the following rules: Given a list of analysts with their current workload and a list of new cases, you need to help the firm to decide which analysts should be … Continue reading

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Can AI code an Entire Optimization Model?

SolverMax attempted to use an LLM tool to create an entire, non-trivial optimization model, with the AI doing all the programming. They asked Copilot to “Design a crop rotation optimization model“. Copilot responds with a comprehensive specification for this situation, … Continue reading

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NVIDIA Open-Sources cuOpt for Decision Optimization

Optimization has always been at the core of computational research, and now, a new frontier is emerging—one where open-source innovation meets GPU acceleration. COIN-OR and NVIDIA are collaborating to bring NVIDIA cuOpt, a GPU-accelerated optimization engine, into the COIN-OR open-source ecosystem. This collaboration … Continue reading

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Decision-making under uncertainty

Meinolf Sellman: “The key to efficiency and smooth, low-cost, and low-surprise operations is to make better decisions. And that has always been the objective of AI. Not the silly chatbot AI that you see being hyped. Not the expensive AI … Continue reading

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Combining AI and OR/MS for Better Trustworthy Decision Making

An interesting event “Bridge: AI+ORMS” will occur on February 25-26, 2025 as a part of the 39th Annual AAAI Conference on Artificial Intelligence in Philadelphia USA. “The goal of this bridge program is to unite AI and OR/MS practitioners and … Continue reading

Posted in Artificial Intelligence, Constraint Programming, Decision Making, Optimization | 1 Comment