52 citations · 54 across the 4 of their papers we have counts for
3 papers · 1 filter
Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation
Shouyong Jiang, Yong Wang, Yaru Hu +2
Dynamic multi-objective optimisation (DMO) handles optimisation problems with multiple (often conflicting) objectives in varying environments. Such problems pose various challenges…
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
Shouyong Jiang, Hongru Li, Jinglei Guo +4
Population-based evolutionary algorithms have great potential to handle multiobjective optimisation problems. However, these algorithms depends largely on problem characteristics,…
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation
Shouyong Jiang, Marcus Kaiser, Shengxiang Yang +2
Dynamic multiobjective optimisation has gained increasing attention in recent years. Test problems are of great importance in order to facilitate the development of advanced algori…