Fig. 8: Illustration of the MGDN-EM algorithm.
From: Rapid mapping of alloy surface phase diagrams via Bayesian evolutionary multitasking
The raw fitness, effective fitness and the niche assignment are depicted as 3 new configurations, (a) x1, (b) x2 and (c) x3, being added consecutively into the database in a 1-factorial (i.e. θ) global optimization employing the MGDN-EM algorithm. Different on-envelope configurations are depicted in different colors. The dominating niche with the maximum gain after adding each configuration is indicated by the red arrow. F and Feff are the matrices storing the raw fitness and the effective fitness, respectively.
