A comparative study of state-of-the-art multi-objective optimization algorithms
Jiawei Li, Evgenii A. Sopov · ITM Web of Conferences · 2024
With the development of intelligent algorithms, multi-objective optimization problems are increasingly showing a significant role in various fields. In this paper, we used four multi-objective optimization algorithms and tested them on six ZDT standard test problems. Conducted experiments to analyse the optimization effects of the algorithms and determine the strengths and weaknesses of each. These analyses help to identify the most appropriate optimization algorithm for a given problem.