Kaizen-R

Category: Machine Learning

  • Project Log: Day 14 – It works!

    Here is where I’m at: My computer is apparently able to choose on which nodes of a network to act, to best contain an infection from spreading across a network, within preset constraints. One image (or one like it) could well be the conclusion of the first part of my dissertation: Many validations and long…

  • Optimization (4/n): Genetic Algorithm(s) (1/m)

    Intro This time around, I keep going studying and implementing optimization algorithms, based on the already mentioned reference book, and I want to work on a slightly different family of these, now a full blown “metaheuristic” in fact, called “Genetic Algorithms”. As this one is a bit different, I will take my time, and go…

  • Optimization (3/n): Simulated Annealing

    Intro Continuing with this simple “series” (see here and here), I implement the next algorithm proposed by the reference book, but in R. This time around, it’s the turn of “Simulated Annealing”. Nice parallel I like how the concept of molecules excitement and temperatures is used for this algorithm. All in all, it’s a bit…