Uniformity-Comprehensive Multiobjective Optimization Evolutionary Algorithm Based on Machine Learning

Algorithm 2

Train and measure SOM.

	Input: (population)
	Output: (offspring output), Unevenness (Euclidean distance).
(1)	NET ⟵ Initialize a new SOM network
(2)	NET ⟵ train (NET, )/ Training the SOM network /
(3)	⟵ NET.IW {pdist (1)}
(4)	Unevenness ⟵ sum (pdist ())/ Calculation of inhomogeneity /
(5)	return [Unevenness, ]