What are local search algorithms and how do they work?

What are local search algorithms and how do they work?

Local search algorithms are optimization techniques that explore the solution space by iteratively moving to neighboring solutions. They are often used for problems where finding an exact solution is computationally expensive.

Can you give me an example of a local search algorithm?

Sure! One common example is the Hill Climbing algorithm, which starts with an arbitrary solution and iteratively makes small changes to improve it.

What are the advantages and disadvantages of using local search algorithms?

Advantages include simplicity and speed, while disadvantages can be getting stuck in local optima and not guaranteeing a global solution.

How do local search algorithms compare to global search algorithms?

Local search algorithms are generally faster but may miss the best solution, while global search algorithms explore more broadly but can be slower.