James McCaffrey: Swarm Intelligence Optimization using Python

Поделиться
HTML-код
  • Опубликовано: 4 ноя 2024

Комментарии • 3

  • @virtualizer7451
    @virtualizer7451 2 года назад +5

    0:00 Intro
    4:45 Agenda
    5:30 Classical Numerical Optimization
    11:13 Amoeba/Simplex/Nelder-Mead Optimization
    19:05 Particle Swarm Optimization
    29:27 Simulated Bee Colony Optimization
    32:00 Travelling Salesman Problem with Simulated Bee Colony Optimization
    34:00 Other Swarm Intelligence Algorithms
    37:12 Summary

  • @TheSeralize
    @TheSeralize 9 лет назад

    Great presentation, thank you!

  • @meinname2976
    @meinname2976 8 лет назад +1

    He obviously doesn't understand the main reason and benefit of functional Programming. Provability. Since Functional Programming Languages like Haskell(i don't mean F#...) are very near to Formal Languages and Logics(yes i know that every PL is basically a Formal Language but not like in theoretical information thechnology) it is much easier to formal/mathematically proof the correctness(due to structures) than it is in imperative e.g. OO+imperative Languages(in complex Software it's nearly impossible see Validation, Verification, Testing).
    Yes, you can reconstruct the ground structures and behaviours in other languages, but exactly this is the point of having them in functional Languages. You don't use a truck for buying some groceries but you also don't use a smart for transporting 50 washing machines.