Category Archives: Optimization

Decision Optimization Technologies

Finding Optimal Locations of New Store using Decision Optimization

Vincent Beraudier, IBM, in his notebook describes how to model and solve the following business problem: “A fictional Coffee Company plans to open N shops in the near future and needs to determine where they should be located knowing that … Continue reading

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Decision Optimization fueling growth in Energy and Utilities

Decision optimization and machine learning techniques are driving better resource planning and scheduling decisions at Energy & Utilities for a range of use cases like power generation planning, pricing optimization and more. Link

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Decision Optimization for Dynamic Pricing

FICO posted an interesting article “Fair Pricing with Price Optimisation”. A similar system “Using Machine Learning, Business Rules, and Optimization for Flash Sale Pricing” has been developed by OpenRules.  These examples demonstrate the power and flexibility of Decision Optimization when business rules, … Continue reading

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Solutions to Nov-2018 Challenge “Vacation Days Advanced”

We’ve already received 3 submissions with solutions to our November challenge “Vacation Days Advanced” using different tools: FICO Blaze Advisor, OpenRules, and DT5GL . Contrary to the 2016 challenge “Vacation Days”, this one doesn’t have inter-rules relationships like “apply this rule only … Continue reading

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Ten years of CP Optimizer

Paul Shaw presented a summary of ten years of evolution of CP Optimizer, one of the most powerful constraint programming engines:

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Challenge Sep-2018 “Balanced Assignment”

This challenge deals with assignment of people to certain activities, for instance: assigning students to project groups or assigning professors to offices.  We are using the problem formulation and test data provided by Prof. Robert Fourer (AMPL). We expect that not … Continue reading

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Chaining Machine Learning and Optimization Models

Machine learning is about predicting, while optimization is about solving (searching for the values of variables that lead to the best outcomes). The latest Nathan Brixius’s post discusses different ways of combining optimization and machine learning: 1. Optimization as a means … Continue reading

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