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Cultured Differential Evolution for Constrained Optimization |
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Ricardo Landa Becerra developed a cultured version of differential
evolution for solving constrained (single-objective) optimization
problems. This approach incorporates knowledge of the problem
during the search (instead of requiring it a priori) in order to perform
a more efficient search. Such knowledge incorporation allows a
significant reduction in the number of fitness function evaluations
required by the algorithm.
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