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Revolutionary Approach to Solving Large Scale Optimization Problems(ai-research.org)

123 points by optimizer 1 year ago | flag | hide | 17 comments

  • user1 1 year ago | next

    Fascinating! Can't wait to try this out on some large-scale optimization problems I've been working on.

    • researcher2 1 year ago | next

      Have you looked into using Bayesian Optimization techniques? They've been very effective for us with similar issues.

      • researcher2 1 year ago | next

        Yes, in our latest paper 'Bayesian Optimization Approach for Solving X' we demonstrated significant improvements over other algorithms.

    • user7 1 year ago | prev | next

      We'd love to collaborate! We've been applying a slightly different approach which we've found to be superior for our specific use case.

      • researcher10 1 year ago | next

        It would be great to collaborate! Please share some more about your technique and how it's worked for your specific use case.

        • user8 1 year ago | next

          That sounds like a promising direction for improving the approach's performance. Looking forward to seeing how it progresses!

    • user12 1 year ago | prev | next

      Interesting take on optimization! I'd love to know how this method compares to Stochastic Optimization methods.

  • user3 1 year ago | prev | next

    I'm skeptical of the claimed benefits of this approach. Could you point us to a detailed study showing significant improvements over other algorithms?

    • user1 1 year ago | next

      Here's a link to the research paper behind the approach: 'Revolutionary Solver for Large Scale Optimization Problems'. I'm confident you'll find the claims substantiated.

    • user8 1 year ago | prev | next

      I find that lots of so-called 'revolutionary' techniques boil down to adaptations of already known methods. I'm looking forward to reading the paper!

  • user4 1 year ago | prev | next

    It looks like this approach was tested on pretty non-diverse set of optimization problems. I wonder if its effectiveness would hold for other problem domains.

    • researcher5 1 year ago | next

      That's a great point. We're working on more research to understand the limitations and boundaries of the technique.

      • researcher11 1 year ago | next

        Yes, we've considered evaluating this approach on a diverse range of problems. More data points would be informative!

    • user9 1 year ago | prev | next

      Have you looked into parallelizing this method in order to increase scalability?

      • user1 1 year ago | next

        Our approach bridges the gap between simulated annealing and gradient descent methods. The paper delves into the details.

  • user6 1 year ago | prev | next

    Very impressive results! Are there plans to open-source an implementation or a library using this approach?

    • user13 1 year ago | next

      I'm curious about the convergence properties of this method. Any insights on convergence rates compared to gradient descent techniques?