TY - GEN
T1 - Multiobjective Optimization Using Age-MOEA-II with Improved Environmental Selection
AU - Chang, Chia Tzu
AU - Visutarrom, Thammarsat
AU - Chiang, Tsung Che
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper aims to develop a multiobjective evolutionary algorithm (MOEA) to tackle multiobjective optimization problems with various Pareto front geometries. We propose an improved version of AGE-MOEA-II by incorporating a hyper-dominance-based filtering mechanism to promote convergence and an adaptive distance metric that balances geodesic and parallel distances to enhance diversity. Extensive experiments on the MaF test suite demonstrate that I-AGE-MOEA-II achieves superior performance compared to several state-of-The-Art MOEAs. Additional component-wise analysis confirms the effectiveness of the proposed improvements. These results suggest that the proposed I-AGE-MOEA-II algorithm offers a robust and scalable solution for handling complex MOPs.
AB - This paper aims to develop a multiobjective evolutionary algorithm (MOEA) to tackle multiobjective optimization problems with various Pareto front geometries. We propose an improved version of AGE-MOEA-II by incorporating a hyper-dominance-based filtering mechanism to promote convergence and an adaptive distance metric that balances geodesic and parallel distances to enhance diversity. Extensive experiments on the MaF test suite demonstrate that I-AGE-MOEA-II achieves superior performance compared to several state-of-The-Art MOEAs. Additional component-wise analysis confirms the effectiveness of the proposed improvements. These results suggest that the proposed I-AGE-MOEA-II algorithm offers a robust and scalable solution for handling complex MOPs.
KW - evolutionary algorithm
KW - geometry estimation
KW - multiobjective
UR - https://www.scopus.com/pages/publications/105033992013
UR - https://www.scopus.com/pages/publications/105033992013#tab=citedBy
U2 - 10.1109/MIND67540.2025.11351680
DO - 10.1109/MIND67540.2025.11351680
M3 - Conference contribution
AN - SCOPUS:105033992013
T3 - Proceedings of the 2025 International Conference on Machine Intelligence and Nature-Inspired Computing, MIND 2025
SP - 396
EP - 402
BT - Proceedings of the 2025 International Conference on Machine Intelligence and Nature-Inspired Computing, MIND 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 International Conference on Machine Intelligence and Nature-Inspired Computing, MIND 2025
Y2 - 31 October 2025 through 2 November 2025
ER -