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Evolutionary computation (EC) metho

Evolutionary computation (EC) methods are based on population of solutions
Each iteration involves propagating all elements of the population
Each member of population (“chromosome”) corresponds to one value of 
Genetic algorithms (GAs) are most popular form of EC
Early work in 1950s and 1960s; influential 1975 book by John Holland laid foundation for modern implementations
Dramatic increase in activity in mid-1980s
Population-based structure well suited to parallel processing
But infeasible in some real-time applications
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Evolutionary computation (EC) methods are based on population of solutionsEach iteration involves propagating all elements of the populationEach member of population (“chromosome”) corresponds to one value of  Genetic algorithms (GAs) are most popular form of ECEarly work in 1950s and 1960s; influential 1975 book by John Holland laid foundation for modern implementationsDramatic increase in activity in mid-1980sPopulation-based structure well suited to parallel processingBut infeasible in some real-time applications
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