Totally agree with you! Metaheuristics or stochastic optimization algorithms are really interesting and beautiful topic, especially for engineers. Thanks Prof. Luis
¡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 . ua-cam.com/play/PLlSRRJbf1_scF7JOiQP51b2v60ubtrPAY.html
Muchas gracias. Aquí lo tienes en español: ua-cam.com/play/PLlSRRJbf1_scF7JOiQP51b2v60ubtrPAY.html. El profesor José Manuel Galán tiene varias playlists sensacionales.
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.
@@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?
@@awadelrahman Yes, you're very right. In the 3rd video, where I explain the taxonomy (ua-cam.com/video/cIZhNrscICA/v-deo.html), 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)
Totally agree with you! Metaheuristics or stochastic optimization algorithms are really interesting and beautiful topic, especially for engineers. Thanks Prof. Luis
Very cool video
Is it silver heuristic same with meta heuristic?
hello sir, can brute force method be referred to as a "conventional" method?
For the purpose of this video, I would say that brute force is the simplest conventional method, yes.
Excelente contenido!
¡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 . ua-cam.com/play/PLlSRRJbf1_scF7JOiQP51b2v60ubtrPAY.html
como me gustaria escucharlo en español..... pero ni modo, es lo que hay :´( , igual muchas gracias por subirlo me encanta estos temas
Muchas gracias. Aquí lo tienes en español: ua-cam.com/play/PLlSRRJbf1_scF7JOiQP51b2v60ubtrPAY.html. El profesor José Manuel Galán tiene varias playlists sensacionales.
sir which book should I refer to read
You can find good references at 6:00
That is great! what "conventional" methods you referred to?
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.
@@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?
@@awadelrahman Yes, you're very right. In the 3rd video, where I explain the taxonomy (ua-cam.com/video/cIZhNrscICA/v-deo.html), 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)
@@LuisRIzquierdo Thanks, that is great 🙂
hello sir, great presentation, thanks a lot, i have a question. is this slide available for public or not?
Absolutely, the link is on the description of the playlist: www.dropbox.com/s/zl0kfxqmmmlvhss/Introduction%20to%20metaheuristics.pdf?dl=0
@@LuisRIzquierdo thanks a lot sir.