Adaptive differential evolution and exponential crossover
Josef Tvrdík · Proceedings of the International Multiconference on Computer Science and Information Technology · 2008
Several adaptive variants of differential evolution are described and compared in two sets of benchmark problems. The influence of exponential crossover on efficiency of the search is studied. The use of both types of crossover together makes the algorithms more robust. Such algorithms are convenient for the real-world problems, where we need an adaptive algorithm applicable without time-wasting parameter tuning.