Experimental comparisons of Clonal Selection Algorithms with different metadynamics strategies

Metadynamics is an important operator of Clonal Selection Algorithms (CSAs), which is considered as an embedded mechanism to increase the population diversity. In the binary space, the traditional metadynamics usually adopts an equal probability to generate 0 and 1 for each bit of the chromosome. However, for some problems, such a metadynamics could not really increase the population diversity. In this paper, four different metadynamics strategies including the traditional metadynamics strategy and three novel metadynamics strategies are tested by experiments to compare their impacts on the performance of CSAs. The experimental results demonstrate that CSAs without and with different metadynamics strategies could have different performance.