Research Article
A Comparative Study of EAG and PBIL on Large-Scale Global Optimization Problems
Require: | (learning rate), (mutation rate), (mutation shift), | (length of the probability vector), and (population size) | (1) Initialize the probability vector | (2) Repeat Steps 3 to 7 until stopping criteria are met | (3) Generate a population of solutions using | (4) Evaluate the fitness of the solutions (generated in Step 3) | (5) Select the best solutions from | (6) Update the probability vector as following: | | (7) Mutate the probability vector as following: | if random then | |
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