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Optimization (4/n): Genetic Algorithm(s) (2/3)
Intro This week, I’ll make it short, and instead of boring with code and explanations, I thought I’d just show an example output… Results This is a genetic algorithm in action: A population “evolves” (reproduces, “selection of the fittest”, iterate) towards an objective. Complexity of many local minima don’t seem to be an issue for…
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Summer fun: Testing Optimization Algorithms (1/n)
Intro I have some more spare time for the upcoming few weeks, and I haven’t had the opportunity to take the “Metaheuristics” course in the Master, and so I feel I’m missing out a bit… But then, what precludes me from learning on my own? So I came across a book (I spend a bit…
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Why I like the Master I study
My (very few) readers know it, as I mention it often: I am what you could call a life-long student, and currently working my way towards finishing an MSc in Computational Engineering and Mathematics. The reality of it is I wanted to understand a bit better the math and the theory behind all the “common”…