Hypervolume estimation algorithm for multiobjective optimization
Python
HypE: Hypervolume estimation algorithm for multiobjective optimization
Reference: Bader J, Zitzler E. HypE: An algorithm for fast hypervolume-based many-objective optimization[J]. Evolutionary Computation, 2011, 19(1): 45-76.
HypE is an indicator-based multi-objective evolutionary algorithm (MOEA) using hypervolume in mating selection and environmental selection.
Variables
Meaning
npop
Population size
iter
Iteration number
lb
Lower bound
ub
Upper bound
nobj
The dimension of objective space (default = 3)
eta_c
Spread factor distribution index (default = 20)
eta_m
Perturbance factor distribution index (default = 20)