Table 1.

Parameters for genetic algorithm.

Coding of genes	Binary coding converted to real value [1,0] for fitness computation
Fitness function	Mutual information (MI)
Population size	20
no of genes	6 bits for each gene
Reproduction	Elitist selection (30% of population), tournament selection
	(35% of population), and roulette selection (35% of population)
Crossover type and rate	Uniform crossover, 0.5
Mutation type and rate	Randomly mutate selected bits, 0.01
Inversion type and rate	Inversion between 2 randomly selected points, 0.01
Convergence	100
Repetition	3