I've finally had the chance to play with Gurobi's hierarchical optimization features, and they're pretty nice!

https://ryanjoneil.github.io/posts/2024-11-08-hierarchical-optimization-with-gurobi/

As I've been renovating old blog posts, some are more fun that others. This one was kind of fun to update with the latest #SCIP libraries.

https://ryanjoneil.github.io/posts/2012-01-12-magic-squares-and-big-ms/

This looks like a fun new book!

Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization

Topics: modeling capabilities of integer variables, the Branch-and-Bound method, cutting planes, network optimization models, shortest path problems, optimum tree problems, maximal cardinality matching problems, matching-covering duality, symmetric and asymmetric TSP, 2-matching and 1-tree relaxations, VRP formulations, and DP.

https://my.siam.org/Store/Product/viewproduct/?ProductId=49696448

It's really neat seeing how active a project #Pyomo is.

https://github.com/Pyomo/pyomo/blob/main/CHANGELOG.md

This post riffs a bit on a recent post by Erwin Kalvelagen about using #optimization to schedule team meetings, and attempt to reduce double- and triple-booking using #julia, #jump, and #scip.

https://ryanjoneil.github.io/posts/2023-11-26-reducing-overscheduling/

At @nextmv we like to do #optimization speed runs. In a couple weeks, we'll be upping the ante and do 3 in 30 minutes.

Come see the 3 main models you need to operate an #ondemand #lastmile service using 3 different solvers: #ORTools, #HiGHS and our own #nextroute.

https://www.nextmv.io/videos/forecast-schedule-route-3-starter-models-for-on-demand-logistics

Guilhem Molines of IBM discusses the value of decision rules over code at #DecisionCAMP 2023:

- transparency
- traceability
- explainability

All important parts of decision #models.

Alan Fish at DecisionCAMP 2023 (paraphrased):

"#ModelOps is about managing the performance of models. #DataOps is about the correctness of data."