Worth sharing : oximo is PuLP/JuMP but for Rust. 🦀 Algebraic modeling for LP, MILP, QP, NLP, and MINLP with a clean builder API. HiGHS bundled, Gurobi/GAMS/BARON supported. Operations research, supply chain, scheduling, finance : this opens Rust up to a whole new class of problems. 🔗 github.com/oximo-rs/oximo #Rustb #RustLang #Optimization #OperationsResearch #OpenSource #Math

A Single-Objective Mixed-Integer Formulation for Cassini2 Space Mission Trajectory Optimization (Cassini2-MINLP) mdpi.com/3881898 #mdpimathematics via @MathematicsMDPI Ošep Ferš, N., & Zamuda, A. (2026). A Single-Objective Mixed-Integer Formulation for Cassini2 Space Mission Trajectory Optimization (Cassini2-MINLP). Mathematics, 14(10), 1639. doi.org/10.3390/math14101639

A Parameter-Free First-Order Algorithm for Non-Convex Optimization w... arXiv:2605.02127 A Theory of Composition and Duality of Extremal Optimal Fixed-Point ... arXiv:2605.02231 A computational comparison of handling distance constraints in MINLP arXiv:2605.02305

Adrian G\"o{\ss}: Clash of MINLP Relaxations: Piecewise Linear vs. Global Parabolic arxiv.org/abs/2603.16505 Gonz\'alez: Liquidity Pools as Mean Field Games with Transaction Costs arxiv.org/abs/2603.16529 en.wikipedia.org/wiki/Mathem…

Learn how BARON helps researchers design compact planetary gearboxes that enable stable 3-DOF hopping for bipedal robots. And a milestone: BARON recently surpassed 1.2M problems solved via @NeosOpt (including 600K in 2025). 🎉 Read more: mailchi.mp/e65bffbd1a1b/use-… #MINLP

after getting more familiar with the problem formulation here, this is probably the hardest minlp problem i've ever encountered. i can see why people want to resort to nn and rl approximations, but i can also see there's not a chance in hell they work here

it's amusing to read papers that start with a list of management and finance buzzwords and end with a comparison of minlp and pso solvers

PhD Positions at the University of Ottawa Position Overview: Dr. Nan Chen currently has multiple PhD positions for Fall 2026 or Winter 2027 in the School of Electrical Engineering and Computer Science at the University of Ottawa. The candidate should have a background in at least two of the following topics: Electric vehicle modelling in smart grid (mobility modelling, demand response, etc.); Power system analysis (optimal/stochastic power flow analysis, economic dispatch, etc.); Resource allocation in 5G/6G communication (edge computing, digital twin modelling, network slicing, etc.); Stochastic process (Markov chain, queueing theory, etc.); Optimization techniques (convex, NLP, MINLP, etc.); Emerging machine learning techniques and applications in power engineering or wireless networks. Application Submission Details: Interested applicants should send CV, transcript, sample publications, and TOFEL/IELTS test results with the email subject line “Prospective PhD student – [Your Name]” to Dr. Nan Chen via email: nchen@uottawa.ca. Admitted students will be provided with full financial support, including tuition waive and monthly stipend. Admission requirements to the PhD program at the University of Ottawa can be referred to uottawa.ca/faculty-engineeri…

@clattner_llvm low-hanging fruit for Mojo would be a best-in-class convex optimization suite. Start with great LP solver, then MINLP. Julia tries to be the all-in-one-language optimization home but doesn't dominate academia and has a disconnect to industry.

Optimization Location of Public Electricity Supply Stations for Electric Vehicle in DKI Jakarta Using MINLP Approach

Marina @marinacuestast told us about ML for MINLP

Discover what’s new in #Gurobi12! Join one of our webinars this week to explore the latest features and enhancements including new #MINLP capabilities, revamped, user-friendly documentation, and upgrades to Cluster Manager and Compute Server. Register now: gurobi.com/events/webinar-wh…

Whether you’re solving linear or nonlinear problems, @gurobi 12 delivers unparalleled power, precision, and global optimality! Take optimization to the next level with full #MINLP support. Learn more at ampl.com/gurobi #Gurobi12 #ORMS #Optimization

Julio Gonz\'alez-D\'iaz, Brais Gonz\'alez-Rodr\'iguez, Iria Rodr\'iguez-Acevedo: An extension of an RLT-based solver to MINLP polynomial problems arxiv.org/abs/2410.17949 arxiv.org/pdf/2410.17949

Zedong Peng, Kaiyu Cao, Kevin C. Furman, Can Li, Ignacio E. Grossmann, David E. Bernal Neira: A Convexification-based Outer-Approximation Method for Convex and Nonconvex MINLP arxiv.org/abs/2407.20973 arxiv.org/pdf/2407.20973

We are thrilled to exhibit at #EURO2024, the 33rd EURO Conference in Copenhagen, Denmark, this week! Visit the BARON team at booth #2 and join exciting discussions on MINLP! Details: shorturl.at/3OaZV #ORMS

🌟 Attention GAMS Users! 🌟 Welcome XPRESS GLOBAL to the GAMS Solver family! With GAMS 47, XPRESS now finds the global optimum for any NLP or MINLP. Contact sales@gams.com for license info. Follow us for updates! #GAMS #XPRESS #Optimization

Grandsam homerun presentation by @SamCChevalier on Adam-based solver for MINLP using αβ-crown.