Skip to main content

Advances, Systems and Applications

Journal of Cloud Computing Cover Image

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