A space sampling based large-scale many-objective evolutionary algorithm
Large-scale multiobjective optimization problems have attracted increasing attention in both
engineering applications and scientific research. Academically, large-scale multiobjective …
engineering applications and scientific research. Academically, large-scale multiobjective …
An improved problem transformation algorithm for large-scale multi-objective optimization
Y Sun, D Jiang - Swarm and Evolutionary Computation, 2024 - Elsevier
Abstract Solving Large-Scale Multi-Objective Optimization Problems (LSMOPs) is the major
challenge in evolution computation. Due to the large number of decision variables involved …
challenge in evolution computation. Due to the large number of decision variables involved …
[HTML][HTML] Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis
J Li, S Xu, J Zheng, G Jiang, W Ding - Applied Sciences, 2024 - mdpi.com
Large-scale high-dimensional many-objective optimization problems (LaMaOPs) are
prevalent in fields such as autonomous driving, cloud resource scheduling, and smart grids …
prevalent in fields such as autonomous driving, cloud resource scheduling, and smart grids …
A Grey Prediction‐Based Reproduction Strategy for Many‐Objective Evolutionary Algorithm
LS Wei, EC Li - International Journal of Intelligent Systems, 2024 - Wiley Online Library
Many‐objective evolutionary algorithms (MaOEAs) consisted of environmental selection and
reproduction operator. However, few studies focus on how to design reproduction operators …
reproduction operator. However, few studies focus on how to design reproduction operators …
Large-scale multiobjective competitive swarm optimizer algorithm based on regional multidirectional search
X Zhang, D Chen, F Ge, F Zou, L Cui - Complex & Intelligent Systems, 2025 - Springer
Competitive swarm optimizer (CSO) based on multidirectional search plays a crucial role in
addressing large-scale multiobjective optimization problems (LSMOPs). However, relying …
addressing large-scale multiobjective optimization problems (LSMOPs). However, relying …