52 citations · 54 across the 4 of their papers we have counts for
4 papers
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…
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth
Bashar Alhnaity, Stefanos Kollias, Georgios Leontidis +3
Multi-step prediction is considered of major significance for time series analysis in many real life problems. Existing methods mainly focus on one-step-ahead forecasting, since mu…
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…