The MaOES program is a GUI implementation for the Evolutionary Strategy Based Many-Objective Evolutionary Algorithm. The program integrates several well-known scalable MaOPs test suites(DTLZ, WFG), which can be run on any Microsoft Windows platform. Interested researchers can download and validate the performance on their own.
The MaOES can obtain a well-converged and well-diversified Pareto front with much less population size and far lower computational complexity. The larger the number of individuals, the sharper the contour of the resulted approximate Pareto front will be.
Copyright (c) 2018-2020 MaOES Group. You are free to use the Programe for research purposes.
All publications which use this Programe or any code in the Programe should acknowledge the use of "MaOES" and reference "Kai Zhang, Zhiwei Xu, Shengli Xie and Gary G. Yen, Evolution Strategy Based Many-Objective Evolutionary Algorithm Through Vector Equilibrium, IEEE Transactions on Cybernetics, 2019, DOI:10.1109/TCYB.2019.2960039"