Explain Genetic Algorithms.

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 Genetic Algorithms

• Genetic Algorithms are search and optimization techniques based on Darwin’s Principle of Natural Selection.

• Directed search algorithms based on the mechanics of biological evolution

• John Holland wrote the first book on Genetic Algorithms ‘Adaptation in Natural and Artificial Systems’ in 1975.

• In 1992 John Koza used genetic algorithm to evolve programs to perform certain tasks. He called his method “Genetic Programming”.

• Provide efficient, effective techniques for optimization and machine learning applications.



GA  Advantages/Disadvantages

• Advantages
– Easily parallelized

• Disadvantages
– Difficult to understand and explain to end-users.
– Abstraction of the problem and method to represent individuals is quite difficult.
– Determining fitness function is difficult.
– Determining how to perform crossover and mutation is difficult.

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