Journal of Cloud Computing

Advances, Systems and Applications

Table 14 The impact of the number of the generations on the genetic algorithm accuracy

From: Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker

Configuration				Result
Population size	No. of generations	Crossover rate	Mutation rate	Fitness	Duration
35	3	0.95	0.015	172	1,161,147
35	4	0.95	0.015	165	1,315,245
35	5	0.95	0.015	160	1,934,609
35	6	0.95	0.015	158	2,109,607
35	7	0.95	0.015	156	2,461,951
35	8	0.95	0.015	156	3,197,381
35	9	0.95	0.015	156	3,305,716
35	10	0.95	0.015	155	3,501,466
35	11	0.95	0.015	157	3,889,925
35	12	0.95	0.015	156	4,180,724
35	13	0.95	0.015	155	4,606,840
35	14	0.95	0.015	155	5,354,189
35	15	0.95	0.015	156	5,780,868
35	16	0.95	0.015	155	5,996,488
35	17	0.95	0.015	155	6,143,828

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