Lecture+23+Genetic+Algorithm-I - Evolutionary Algorithms...

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Evolutionary Algorithms 1 Genetic Algorithms I Zain Iqbal 5/31/17
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GENETIC ALGORITHM A biologically inspired model of intelligence and the principles of biological evolution are applied to find solutions to difficult problems The problems are not solved by reasoning logically about them; rather populations of competing candidate solutions are spawned and then evolved to become better solutions through a process patterned after biological evolution Less worthy candidate solutions tend to die out, while those that show promise of solving a problem survive and reproduce by constructing new solutions out of their components 2
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3 GENETIC ALGORITHM GA begin with a population of candidate problem solutions Candidate solutions are evaluated according to their ability to solve problem instances: only the fittest survive and combine with each other to produce the next generation of possible solutions Thus increasingly powerful solutions emerge in a Darwinian universe Learning is viewed as a competition among a population of evolving candidate problem solutions This method is heuristic in nature and it was introduced by John Holland in 1975
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GENETIC ALGORITHM 4 Definitions Gene : A basic unit, which controls a property of an individual Chromosome : A string of genes; it represents an individual i.e. a possible solution of a problem Population : A collection of individuals Fitness function : A criterion which evaluates each individual Selection : A procedure for choosing a part of the population that
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