Associate Professor Tsung-Che Chiang
Department of Computer Science and Information Engineering
National Taiwan Normal University

Tel: +886-2-77346692    Fax: +886-2-29322378    Email
¡@
¡@

Chia-Tzu Chang, Thammarsat Visutarrom, and Tsung-Che Chiang, Multiobjective optimization using AGE-MOEA-II with improved environmental selection, Proc. of International Conference on Machine, Intelligence, and Nature-inspired Computing (MIND), pp. 396-402, Xiamen, Oct. 31 - Nov. 2, 2025.

Abstract

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.

¡@