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2 votes
2 answers
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Does reaching the global optima guarantee good performance in a task?

It is to my understanding that, in deep learning, we are essentially trying to minimize the loss function that we have defined and reach its global optima through some form of optimization technique. ...
tangolin's user avatar
  • 153
2 votes
1 answer
2k views

What are advantages of using meta-heuristic algorithms on optimization problems?

What are the advantages and disadvantages of using meta-heuristic algorithms on optimization problems? Simply, why do we use meta-heuristic algorithms, like PSO, over traditional mathematical ...
user33046's user avatar
5 votes
1 answer
2k views

What are examples of optimization problems that can be solved using genetic algorithms?

I'm trying to learn how genetic algorithms can solve optimization problems. I have already learned how genetic algorithms can solve the knapsack, TSP and set cover problems. I'm looking for some other ...
Pablo's user avatar
  • 273
0 votes
1 answer
1k views

How could we solve the TSP using a hill-climbing approach?

How could we solve the TSP using a hill-climbing approach?
dua fatima's user avatar