5 citations · 10 across the 6 of their papers we have counts for
4 papers · 1 filter
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms
Yuxin Ma, Zherui Zhang, Ran Cheng +2
In the domain of multi-objective optimization, evolutionary algorithms are distinguished by their capability to generate a diverse population of solutions that navigate the trade-o…
Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
Jie Zhao, Kang Hao Cheong, Yaochu Jin
Knowledge transfer-based evolutionary optimization has garnered significant attention, such as in multi-task evolutionary optimization (MTEO), which aims to solve complex problems…
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
Xueming Yan, Yaochu Jin
Evolutionary algorithms have been successful in solving multi-objective optimization problems (MOPs). However, as a class of population-based search methodology, evolutionary algor…
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality
Yaqing Hou, Mingyang Sun, Abhishek Gupta +4
In this paper, we scale evolutionary algorithms to high-dimensional optimization problems that deceptively possess a low effective dimensionality (certain dimensions do not signifi…