Journal of Cloud Computing

Advances, Systems and Applications

Table 15 The impact of the crossover rate 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	7	0.50	0.015	176	1,763,287
35	7	0.55	0.015	173	1,816,652
35	7	0.60	0.015	170	2,021,755
35	7	0.65	0.015	165	2,164,869
35	7	0.70	0.015	161	2,267,017
35	7	0.75	0.015	160	2,398,733
35	7	0.80	0.015	158	2,567,368
35	7	0.85	0.015	157	2,628,260
35	7	0.90	0.015	155	2,840,778
35	7	0.95	0.015	155	3,070,889

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