A survey on evolutionary constrained multiobjective optimization
Handling constrained multiobjective optimization problems (CMOPs) is extremely
challenging, since multiple conflicting objectives subject to various constraints require to be …
challenging, since multiple conflicting objectives subject to various constraints require to be …
Evolutionary dynamic constrained multiobjective optimization: Test suite and algorithm
G Chen, Y Guo, Y Wang, J Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic constrained multiobjective optimization problems (DCMOPs) abound in real-world
applications and gain increasing attention in the evolutionary computation community. To …
applications and gain increasing attention in the evolutionary computation community. To …
A novel evolutionary algorithm for dynamic constrained multiobjective optimization problems
To promote research on dynamic constrained multiobjective optimization, we first propose a
group of generic test problems with challenging characteristics, including different modes of …
group of generic test problems with challenging characteristics, including different modes of …
Scaling up dynamic optimization problems: A divide-and-conquer approach
Scalability is a crucial aspect of designing efficient algorithms. Despite their prevalence,
large-scale dynamic optimization problems are not well studied in the literature. This paper …
large-scale dynamic optimization problems are not well studied in the literature. This paper …
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification
Y Guo, M Huang, G Chen, D Gong, J Liang… - Swarm and Evolutionary …, 2023 - Elsevier
In dynamic constrained multiobjective optimization problems (DCMOPs), dynamics may
arise from time-varying objective functions or/and constraints. To solve these problems …
arise from time-varying objective functions or/and constraints. To solve these problems …
动态多目标优化进化算法研究进展
马永杰， 陈敏， 龚影， 程时升， 王甄延 - 自动化学报, 2020 - aas.net.cn
动态多目标优化问题(Dynamic multi-objective optimization problems, DMOPs)
已成为工程优化的研究热点, 其目标函数, 约束函数和相关参数都可能随时间不断变化 …
已成为工程优化的研究热点, 其目标函数, 约束函数和相关参数都可能随时间不断变化 …
Multi-population evolution based dynamic constrained multiobjective optimization under diverse changing environments
Dynamic constrained multiobjective optimization involves irregular changes in the
distribution of the true Pareto-optimal fronts, drastic changes in the feasible region caused …
distribution of the true Pareto-optimal fronts, drastic changes in the feasible region caused …
Penalty and prediction methods for dynamic constrained multi-objective optimization
Dynamic constrained multi-objective optimization problems (DCMOPs) involve objective
functions and constraints that vary over time, requiring optimization algorithms to track the …
functions and constraints that vary over time, requiring optimization algorithms to track the …
Spatial-temporal knowledge transfer for dynamic constrained multiobjective optimization
Dynamic Constrained Multiobjective Optimization Problems (DCMOPs) are characterized by
multiple conflicting optimization objectives and constraints that vary over time. The presence …
multiple conflicting optimization objectives and constraints that vary over time. The presence …
Constrained multi-objective optimization problems: Methodologies, algorithms and applications
Constrained multi-objective optimization problems (CMOPs) are widespread in practical
applications such as engineering design, resource allocation, and scheduling optimization …
applications such as engineering design, resource allocation, and scheduling optimization …