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Bernardo FurtadoinTowards Data ScienceHow Data Science Helped Sherlock Holmes Find a MurdererSolve the “Who Killed the Duke of Densmore” mystery using graph theory, constraint programming, and mixed-integer linear programmingApr 28, 20232
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Vitality LearningOptimizing Unconstrained, Constrained, and Mixed Integer Problems with Matlab’s surrogateoptMatlab provides powerful tools for solving optimization problems, and one such tool is the surrogateopt function. This article explains…Sep 12
Bernardo FurtadoinTowards Data ScienceHow Data Science Helped Sherlock Holmes Find a MurdererSolve the “Who Killed the Duke of Densmore” mystery using graph theory, constraint programming, and mixed-integer linear programmingApr 28, 20232
Mahdi MobiniSolving the Nurse Rostering Problem using Google OR-ToolsThe Nurse Rostering Problem (NRP), a.k.a Rotation Automation, focuses on finding an optimal way to assign shifts to nurses.Oct 27, 2022
Pascal BerckerParking Lot Puzzle — A Constraint Satisfaction Problem — with A Bayesian NetworkI saw this question on Reddit r/Probability — but no one answered him yet — so I will.Sep 5
Pascal BerckerCRYSTAL MAZE — A Constraint Satisfaction puzzle — with NETICAI saw this puzzle in a video about constraint programming. It’s the kind of thing that A Bayesian network like Netica can do fairly easily…Aug 21
AlainChabrierScheduling with Constraint ProgrammingConstraint Programming (CP) is particularly efficient and useful to solve Scheduling problems.Nov 6, 20191
Optimization teaminOperations Research BitOptimal Marriage Using ORToolsWhile an analytical mind might employ optimization algorithms to find the perfect match, true love often dances to its own tune, defying…Jun 25