Category Archives: Decision Optimization

Decision Optimization Technologies

Novel Decision Modeling Techniques (DC2023 Notes Part 2)

There were two presentations at DecisionCAMP-2023 devoted to new ideas that extend traditional Decision Modeling and DMN-like tools in new directions: 1) Probabilistic reasoning when a decision model deals with uncertain facts about which we know only their probability; 2) Declarative … Continue reading

Posted in Constraint Programming, Decision Intelligence, Decision Modeling, Decision Optimization, DecisionCAMP, Knowledge Representation, Reasoning, Rule Violations | Leave a comment

DecisionCAMP-2023 Starts on Sep 18

DecisionCAMP, the major annual Decision Management event for partitioners by practitioners, starts on Monday, Sep 18 (online). With many presentations and discussions about Generative AI and Symbolic AI it promises to become an important milestone on the road to the … Continue reading

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AI4OPT: AI for Optimization

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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OptaPlanner continues as Timefold

Geoffrey De Smet: OptaPlanner, an Open Source project for planning optimization, has entered a new chapter. “The project I worked on for seventeen years, has matured under Red Hat’s wings for the past ten years. Last year, when Red Hat’s … Continue reading

Posted in Decision Optimization, Open Source, Products, Scheduling and Resource Allocation | Leave a comment

Decisions as Code

NextMV (“next move”) is a startup that provides solutions for Decision Optimization in the Routing, Scheduling, Packing, and other domains. “Building and shipping algorithms is tough. (87% of algorithms never make it to production.) Even when an algorithm makes it … Continue reading

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Challenge May-2023 “Next Best Action”

“Next best action” is a popular decision-making strategy. But how to define the “best” next action? This challenge may demonstrate it. Consider an NxN grid of lightbulbs. We are given an initial state where some of the bulbs are off and some are on. Then, … Continue reading

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Christopher Columbus, global warming and mathematical optimization

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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AI is not equal to ML

Alain Chabrier from IBM Decision Optimization team in his Medium.com article argues that not only “AI != ML” pointing to the difference between Data-driven and Knowledge-driven decision models. He even claims that “Decision Optimization has more impact on the real … Continue reading

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Pragmatic Approach to Predictive Decision Automation

In this webinar Red Hat specialists explain how explainable Predictive Decisioning can help us trust AI. Their  approach combines AI/ML, decision optimization, and traditional business rules to better understand the factors that contribute to an automated decision. They use the … Continue reading

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Solving Assembly Line Balancing Problem

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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