Research Article
Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization
() Randomly initialize the population | () Evaluate the population | () while (number of iterations, or the stopping criterion is not met) | () Divide the population into two parts according to the fitness | () for solutions in the worse population do | () Perform Lévy flight for to generate a new one | () | () | () end for | () for solutions in the better population do | () Perform TLBO for to generate a new one | () | () | () end for | () Randomly choose a section of the whole population () | () for solutions in this do | () Perform chaos search for to generate a new one | () | () | () end for | () end |
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