Differential evolution with thresheld convergence
During the search process of differential evolution (DE), each new solution may represent a new more promising region of the search space (exploration) or a better solution within the current region (exploitation). This concurrent exploitation can interfere with exploration since the identification of a new more promising region depends on finding a (random) solution in that region which is better than its target solution. Ideally, every sampled solution will have the same relative fitness with...[Show more]
|Collections||ANU Research Publications|
|Source:||2013 IEEE Congress on Evolutionary Computation|
|BoluféRöhler_DifferentialEvolution2013.pdf||297.86 kB||Adobe PDF|
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