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genetic algorithm

Magnificent Millipede answered on September 8, 2022 Popularity 10/10 Helpfulness 3/10

answer genetic algorithm

genetic algorithm

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step of Genetic Algorithm:
(1) Start: Generate random population of n chromosomes (suitable 
	solutions for the problem).
(2) Fitness: Evaluate the fitness f (x) of each chromosome x in
	the population.					
(3) New Population: Create a new population by repeating
	the following steps until a new population is complete					
	
    (a) Selection: Select two parent chromosomes from a population according 
		to their fitness (the better fitness, the higher the chance to be selected).				
	(b) Crossover: With a crossover probability, cross over the
		parents to form a new offspring (child). If no crossover
		was performed, offspring is an exact copy of parents.				
	(c) Mutation: With a mutation probability, mutate new offspring at each 
		locus (position in chromosome).					
(d) Accepting: Place new offspring in a new population.					
(4) Replace: Use newly generated population for a further run of algorithm.					
(5) Test: If the end condition is satisfied, stop, and return the
	best solution in current population					
(6) Loop: Go to step 2

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Contributed on Sep 08 2022

Magnificent Millipede

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genetic algorithm

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