FH-MOEA:multi-objective evolutionary algorithm based-on fast hyper-volume contribution approach

The method for incorporating strong selection pressure was introduced into multi-objective evolutionary optimization algorithms(MOEAs) to force the evolution population approaches rapidly towards the Pareto optimal front with a spread as uniform as possible over the Pareto front.An effective measure called "hyper-volume contribution" was adopted to provide the strong selection pressure.Based on the fast method for calculating hyper-volume contribution proposed,a new multi-objective optimization evolutionary algorithm multi-objective evolutionary algorithm based on fast hyper-volume contribution(FH-MOEA) was proposed for the complex multi-objective optimization problem(MOP) tasks.Via a suite of designed experiments,it is distinctly indicated that FH-MOEA has a great advantage over the famous MOEA "NSGA-Ⅱ" in terms of both convergence and diversity.