SMSEMOA
SMSEMOA, short for S-metric Selection Evolutionary Multi-Objective Algorithm, is a population-based evolutionary algorithm designed for solving multiobjective optimization problems. It uses the hypervolume indicator, also known as the S-metric, as the central measure of solution quality. The algorithm maintains a fixed-size population of candidate solutions, each characterized by a vector of objective values.
At each generation, SMSEMOA generates offspring through standard evolutionary operators such as selection, crossover and mutation.
Hypervolume-based selection provides a direct measure of the combined quality of the Pareto-optimal front approximation but
SMSEMOA has been shown to produce well-distributed and converged fronts on a range of benchmark problems and