Journal of Cloud Computing

Advances, Systems and Applications

Table 13 Impact of population size 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
10	6	0.95	0.015	176	657,037
15	6	0.95	0.015	170	858,748
20	6	0.95	0.015	167	1,182,530
25	6	0.95	0.015	166	1,488,723
30	6	0.95	0.015	164	1,881,464
35	6	0.95	0.015	158	2,103,345
40	6	0.95	0.015	158	2,324,168
45	6	0.95	0.015	157	2,787,369
50	6	0.95	0.015	158	3,022,506
55	6	0.95	0.015	156	3,297,244
60	6	0.95	0.015	158	3,678,164
65	6	0.95	0.015	158	4,159,851
70	6	0.95	0.015	157	4,378,326
75	6	0.95	0.015	157	4,724,120
80	6	0.95	0.015	157	5,057,848

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