[HTML][HTML] Solving dynamic multi-objective optimization problems via quantifying intensity of environment changes and ensemble learning-based prediction strategies
Z Wang, L Xue, Y Guo, M Han, S Liang - Applied Soft Computing, 2024 - Elsevier
Algorithms designed to solve dynamic multi-objective optimization problems (DMOPs) need
to consider all of the multiple conflicting objectives to determine the optimal solutions …
to consider all of the multiple conflicting objectives to determine the optimal solutions …
Dynamic robust particle swarm optimization algorithm based on hybrid strategy
J Zeng, X Yu, G Yang, H Gui - International Journal of Swarm …, 2023 - igi-global.com
Robust optimization over time can effectively solve the problem of frequent solution
switching in dynamic environments. In order to improve the search performance of dynamic …
switching in dynamic environments. In order to improve the search performance of dynamic …
Optimization approaches for dynamic environmental and energy management problems
J Mäntysaari - 2023 - aaltodoc.aalto.fi
Today, in problems related to environmental decision making as well as to the use of
electricity, one has to take into account time dependent effects, such as prices or system …
electricity, one has to take into account time dependent effects, such as prices or system …
A Dynamic Multi-Objective Differential Evolution Based on Hierarchical Prediction Strategy
E Song, Z Yao, Z Wang - 2024 6th International Conference on …, 2024 - ieeexplore.ieee.org
In order to effectively improve the convergence of the dynamic multi-objective evolutionary
algorithm, this paper proposes a dynamic multi-objective differential evolution based on the …
algorithm, this paper proposes a dynamic multi-objective differential evolution based on the …
Optimization System Design of Building Internal Structure Based on Multi-Objective Evolutionary Algorithm
D Xu, Y Liu - 2022 International Conference on Knowledge …, 2022 - ieeexplore.ieee.org
With the rapid development of China's construction industry, there are inevitably many
problems in the construction process, such as unreasonable internal structure and …
problems in the construction process, such as unreasonable internal structure and …
A Dynamic Multi-Objective Optimization Algorithm Based on Detection of Environmental Change Intensity and Ensemble Learning
Z Wang, S Liang, Y Guo, M Han, F Liu - Available at SSRN 4382823 - papers.ssrn.com
Dynamic multi-objective optimization problems (DMOPs) need to consider all optimal
solutions compromised among multiple conflicting objectives, where the objective functions …
solutions compromised among multiple conflicting objectives, where the objective functions …