Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare

Algorithm 2

: Proposed GA with R&S.

Parameters:

 GA: , , , ,

 R&S (Algorithm 1): , , ,

  INITIALIZATION:

1:  choose chromosomes randomly as initial population

  LOOP:

2:  for to do

   EVALUATION WITH R&S:

3:   evaluate and find elite chromosomes from the population with Algorithm 1 (, , , )

   ELITISM:

4:   put the best e chromosomes among the elite chromosomes into the emptied new population

   GENETIC OPERATIONS:

5:   do

6:    choose 2 parent chromosomes from the elite chromosomes with the linear ranking selection

7:    generate 2 child chromosomes from the 2 parents with the uniform crossover with rate

8:    mutate the 2 children with the simple bit inversion method with rate

9:    put the 2 children into the new population

10:   while size of the new population

11: end for

  FINALIZATION:

12: return the best chromosome among the population