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oguztoragay/README.md
  • Hi, I’m Oğuz Torağay, an Assistant Professor at LTU.
  • I’m interested in application of optimization (almost in any type) to solve engineering problems.
  • I’m currently using Pyomo (Python Optimization Modeling Object) for my projects
  • I’m looking forward to collaborating on Mathematical modeling, Heuristic, and Metaheuristic approaches to solve real-world optimization problems specifically topology optimizations for lightweight frame structures for additive manufacturing, scheduling robot assisted manufacturing and transportation, logistics problems using drones.
  • Contact: otoragay at [ltu] dot [edu]

Google Scholar ResearchGate Stack Exchange LinkedIn

‒ Programming languages ⇨  python ‒ matlab ‒ matlab ‒ cpp 

‒ Libraries & Tools ⇨  NumPy ‒ Pandas ‒ NetworkX ‒ PyCharm ‒ Gurobi ‒ COIN-OR ‒ docker ‒ googleCloud 

‒ Algebraic Modeling Languages (AMLs) ⇨  Pyomo ‒ ORtools ‒ AMPL 

Pinned

  1. AMmodels AMmodels Public

    This repository includes all the codes for exact mathematical models for lightweight frame structures' design for additive manufacturing.

    Python

  2. AMPAP2.8 AMPAP2.8 Public

    Python

  3. SchedulingGAP SchedulingGAP Public

    Codes that are used for the experiment part of the paper.

    Python 2 1

  4. ML4JS ML4JS Public

    This code has been used in the paper titled: "How Do Machine Learning Models Perform in Predicting the Solution Time for Optimization Problems? Case of Job Shop Scheduling Problem"

    Python 1

  5. ML4OR ML4OR Public

    Forked from Thinklab-SJTU/awesome-ml4co

    Awesome machine learning for combinatorial optimization papers.

    Python