Introduction to Metaheuristics (1/9)

[@SolvingOptimizationProblems]

Totally agree with you! Metaheuristics or stochastic optimization algorithms are really interesting and beautiful topic, especially for engineers. Thanks Prof. Luis

[@sebon11]

Very cool video

[@hanserj169]

Excelente contenido!

[@LuisRIzquierdo]

¡Muchas gracias! Tienes estos vídeos también en español, hechos por el magnífico profesor Galán, que es quien en realidad elaboró el contenido de los vídeos. ¡Le paso tu amable comentario! :D . kzbin.info/aero/PLlSRRJbf1_scF7JOiQP51b2v60ubtrPAY

[@bemdemfem]

como me gustaria escucharlo en español..... pero ni modo, es lo que hay :´( , igual muchas gracias por subirlo me encanta estos temas

[@LuisRIzquierdo]

Muchas gracias. Aquí lo tienes en español: kzbin.info/aero/PLlSRRJbf1_scF7JOiQP51b2v60ubtrPAY. El profesor José Manuel Galán tiene varias playlists sensacionales.

[@hayatadairatv653]

Is it silver heuristic same with meta heuristic?

[@MeghanaKarnam]

hello sir, can brute force method be referred to as a "conventional" method?

[@LuisRIzquierdo]

For the purpose of this video, I would say that brute force is the simplest conventional method, yes.

[@mojtabakanani986]

hello sir, great presentation, thanks a lot, i have a question. is this slide available for public or not?

[@LuisRIzquierdo]

Absolutely, the link is on the description of the playlist: www.dropbox.com/s/zl0kfxqmmmlvhss/Introduction%20to%20metaheuristics.pdf?dl=0

[@mojtabakanani986]

​@@LuisRIzquierdo thanks a lot sir.

[@awadelrahman]

That is great! what "conventional" methods you referred to?

[@LuisRIzquierdo]

Thanks a lot for your comment and your question. What I had in mind when I said "conventional" is methods based on calculus for continuous functions (e.g. gradient-based algorithms) and exhaustive search for discrete spaces.

[@awadelrahman]

@@LuisRIzquierdo I find your illustration is really clear, however most of the literature talks about what they call "exact methods", I do not know where this can fit in your taxonomy. Also the new machine learning trends like reinforcement learning (RL), where can they be put in the taxonomy? Actually I am working on trying to solve multidimensional knapsack problem, thinking about using RL :) any suggestions?

[@LuisRIzquierdo]

@@awadelrahman Yes, you're very right. In the 3rd video, where I explain the taxonomy (kzbin.info/www/bejne/mXq9mYGoqMh8eaM), I call them "exact methods", as you correctly point out. The taxonomy is not mine, it was proposed by Talbi in chapter 1 (www.wiley.com/en-us/Metaheuristics%3A+From+Design+to+Implementation+-p-9780470278581). I think you will find that chapter very useful to think about where new approaches may fit (or propose a new class in the taxonomy, if you find that something is missing :D)

[@awadelrahman]

@@LuisRIzquierdo Thanks, that is great 🙂

[@codewithmed9885]

sir which book should I refer to read

[@LuisRIzquierdo]

You can find good references at 6:00