Optimization - I (Simulated Annealing)

Artificial Intelligence by Prof. Deepak Khemani,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit nptel.ac.in
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[@timzhang1341]

Very good lecture. A prof is a prof, who does so much better lecture than others on KZbin on this Topic.

[@ting-kangpai1580]

the best video explaining simulated annealing on KZbin. Thanks!

[@VivekParashar1979]

Best of the videos we found on internet, Superb Sir

[@HarpreetSingh-ke2zk]

Nicely explained Prof. Hope cameraman can focus on the latest written parts rather than move along with lecturer gestures. It is difficult to sync lecture with contents written on board.

[@jueunhwang783]

Your teaching is excellent. Thank you very much Dr. Khemani!

[@tunahanaktas2655]

This lecture made me understood many fundamentals of SA! Thank you professor!

[@josbexerr5166]

wow....Excelente... recien entiendo que es un recocido simulado.....gracias.

[@BukhtiarMohsin]

Excellent lecture i dont think i need to read anything else now to get the basics of simulated annealing. Bravo

[@chrisgermann7414]

Thanks a lot for this great lecture. It was a pleasure to listen to you :D. Greetings from Switzerland

[@SF-fb6lv]

As you lower the temperature, the greediness increases.

[@صوفياالشركي]

thanks profesor for the explanation, i just want to know if it's the same thing for maxmization and minimization

[@forrestwargo3173]

For anyone still wondering, yes it is. For the most part, min or max and ascent or descent are the same problem

[@malharjajoo7393]

Nice explanation.

[@nirvanfernando280]

thanks a lot prof, realy

[@BSplitt]

Great lecture! I do find it funny how often the professor says "essentially" though.

[@balu9949]

Prof. Deepak Khemani, ____/\____

[@prabalshankar4835]

Thank you so much, Sir

[@WinnieThaPoo92]

thank you, wonderful video! i wish you were my professor.

[@lipsachhotray1021]

Sir was saying that initially, the energy gap of AB is easy to overcome than energy gap of CB.So, the algo will go from A to C . But what if we start from C itself?would the algo come down from C to B ? at 41:56

[@atom_productions]

I gs he said that initially its same due to randomness, but in general it has greater tendency to move A 2 C since on cooling the probability of making negative move decreases.47:00

[@maurocremonini]

Yours is probably the best comprehensive lecture I’ve ever watched, yet simple and clear. Many compliments, professor.

[@VinhNguyen-kq8jg]

very nice lecture! Thanks

[@nilanjansantra3756]

beautiful algorithm, beautiful explanation

[@abhinavkumar-ir1od]

Great lecture but moving to complicated stuff first than explaining in simple manner

[@yogeshkamble2912]

NICE ONE

[@soumyabrata111]

too much of camera movement.

[@mostafakorashy9193]

Really, a great lecture. Many simplified, while deeply explained, concepts. Greetings from Canada

[@abdulbasithashraf5480]

What a connection to Genetic algorithms made at the end of the lecture!

[@shivanartoshy8635]

i need the same but in mathematically solution even in one iteration . who can help???

[@soumikpattanayak3225]

Thank u sir

[@FakeNorris]

perfect professor!

[@raulsebastianriveramartine9821]

No slices..

[@binxu8117]

Thanks u.This is good lecture that help me.

[@SammyThaSam]

Essentially great. Thank you!

[@anonymsct]

good

[@rohitgupta025]

Awesome explanation.... very deep but simple one.

[@sandeepkad5463]

Very Informative, Thank You Sir

[@jayateertha_d]

very nicely expalined sir , thanks

[@tamerkhraisha6974]

Best explanation of simulated annealing

[@SuganthanHarmless]

Thank you

[@shireeniqbal7399]

wow. . . respect from pakistan

[@jyotiranjannayak2234]

Excellent Lecture

[@mayankguptagmayank1999]

watch at 2x speed,else it can get boring

[@denniskostjuk]

He sounds like one of this PC scammers