Dynamic changes are an important and inescapable aspect of many real-world optimization problems. Designing algorithms to find and track desirable solutions while facing challenges …
L Skanderova - Artificial Intelligence Review, 2023 - Springer
The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …
Z Zheng, S Yang, Y Guo, X Jin, R Wang - Swarm and Evolutionary …, 2023 - Elsevier
As a small energy system, microgrid plays an important role in utilizing distributed energy resources, improving traditional energy networks, and building intelligent integrated energy …
Q Chen, J Ding, GG Yen, S Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic constrained multiobjective optimization involves irregular changes in the distribution of the true Pareto-optimal fronts, drastic changes in the feasible region caused …
Z Liang, R Yang, J Wang, L Liu, X Ma, Z Zhu - Expert Systems with …, 2024 - Elsevier
Dynamic constrained optimization problems (DCOPs) are common and important optimization problems in real-world, which have great difficulty to solve. Dynamic …
This study develops an adaptive multilevel prediction (AMLP) method to detect and track multiple global optima over time. First, it formulates a multilevel prediction approach in which …
Most real-world problems that have two or three objectives are dynamic, and the environment of the problems may change as time goes on. For the purpose of solving …
The number of research works on dynamic constrained optimization problems has been increasing rapidly over the past two decades. In this domain, many real-life decision …
X Lu, K Tang, S Menzel, X Yao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Dynamic optimization, for which the objective functions change over time, has attracted intensive investigations due to the inherent uncertainty associated with many real-world …