Accurate Base Station Placement in 4G LTE Networks Using Multiobjective Genetic Algorithm Optimization

Table 1

Simulation parameters used in the multiobjective genetic algorithm.

Operation/parameter	Value(s) of options/parameter
Population size	10, 40, 70, and 100
Population type	Double vector
Elite count	1
Pareto fraction	0.75
Crossover fraction	0.8
Mutation function	Adaptive feasible
Migration direction	Both
Migration interval	20
Constraint tolerance	1.0000e-03
Measure function for distance	{@distancecrowding ‘phenotype’}
Time limit	Inf
Fitness limit	-Inf
MaxStall generation	100
MaxGenerations	of variables
MaxTime	Inf