Conceptual Shape Optimization of Entry Vehicles by Dominic Dirkx & Erwin Mooij

Author:Dominic Dirkx & Erwin Mooij
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

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As was mentioned before, it is possible and indeed advantageous to have the various parameters of the PSO algorithm vary as the number of iterations increases to change from exploration to exploitation of the solution space. This is implemented in the optimizer by letting the parameters vary linearly with the number of iterations. Since the number of iterations is set prior to the optimization initialization, this allows for a linear determination of the value of each parameter at a given iteration number. The values of these parameters, at the first and last iteration, are given in Table 6.1.Table 6.1Default settings for MOPSO algorithm used in simulations

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