no code implementations • 1 Nov 2023 • Linxi Yang, Xinmin Yang, Liping Tang
The development of artificial intelligence (AI) for science has led to the emergence of learning-based research paradigms, necessitating a compelling reevaluation of the design of multi-objective optimization (MOO) methods.
no code implementations • 27 Oct 2021 • Wang Chen, Jian Chen, Weitian Wu, Xinmin Yang, Hui Li
For performance assessment, the proposed algorithm is compared with existing four state-of-the-art multiobjective evolutionary algorithms on benchmark test problems with various types of Pareto optimal fronts.