Features of genetic algorithm, and also give its advantages and disadvantages.
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I recently worked with couple of my friends who used genetic algorithm to optimize an electric circuit. This is what I learned from my experience.
Advantages
It can find fit solutions in a very less time. (fit solutions are solutions which are good according to the defined heuristic)The random mutation guarantees to some extent that we see a wide range of solutions.Coding them is really easy compared to other algorithms which does the same job.
Disadvantages
Its really hard for people to come up with a good heuristic which actually reflects what we want the algorithm to do.It might not find the most optimal solution to the defined problem in all cases.Its also hard to choose parameters like number of generations, population size etc. When we are working even though our heuristic was right we were not realizing it because we were running for a fewer generations.
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