A multiobjective intelligent decision-making method for multistage placement of PMU in power grid enterprises
B Cao, Y Yan, Y Wang, X Liu, JCW Lin… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The wide area measurement system (WAMS) based on synchronous phasor measurement
technology plays an increasingly important role in dynamic monitoring and wide area …
technology plays an increasingly important role in dynamic monitoring and wide area …
Learning to accelerate evolutionary search for large-scale multiobjective optimization
Most existing evolutionary search strategies are not so efficient when directly handling the
decision space of large-scale multiobjective optimization problems (LMOPs). To enhance …
decision space of large-scale multiobjective optimization problems (LMOPs). To enhance …
A survey on learnable evolutionary algorithms for scalable multiobjective optimization
Recent decades have witnessed great advancements in multiobjective evolutionary
algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these …
algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these …
A two-stage evolutionary algorithm with balanced convergence and diversity for many-objective optimization
Multiobjective optimization evolutionary algorithms (MOEAs) have received significant
achievements in recent years. However, they encounter many difficulties in dealing with …
achievements in recent years. However, they encounter many difficulties in dealing with …
MOQEA/D: Multi-objective QEA with decomposition mechanism and excellent global search and its application
W Deng, X Cai, D Wu, Y Song, H Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this paper, a large-scale multi-objective gate assignment model is constructed by
considering the flight international and domestic attributes, task type, airline affiliation, and …
considering the flight international and domestic attributes, task type, airline affiliation, and …
[HTML][HTML] A new rough ordinal priority-based decision support system for purchasing electric vehicles
This study proposes a novel multi-criteria decision-making (MCDM) model based on a rough
extension of the Ordinal Priority Approach (OPA) to determine the order of importance of …
extension of the Ordinal Priority Approach (OPA) to determine the order of importance of …
A constrained many-objective evolutionary algorithm with learning vector quantization-based reference point adaptation
C Wang, H Huang, H Pan - Swarm and Evolutionary Computation, 2023 - Elsevier
Constrained many-objective optimization problems (CMaOPs) are frequently encountered in
real-world applications, generally having constrained Pareto fronts (PFs) that are often …
real-world applications, generally having constrained Pareto fronts (PFs) that are often …
A line complex-based evolutionary algorithm for many-objective optimization
In solving many-objective optimization problems (MaOPs), existing nondominated sorting-
based multi-objective evolutionary algorithms suffer from the fast loss of selection pressure …
based multi-objective evolutionary algorithms suffer from the fast loss of selection pressure …
A knowledge-based constructive estimation of distribution algorithm for bi-objective portfolio optimization with cardinality constraints
Portfolio optimization is an essential and practical model for financial decision making. With
the consideration of some real-world constraints, especially the cardinality constraints, the …
the consideration of some real-world constraints, especially the cardinality constraints, the …
Improving pareto local search using cooperative parallelism strategies for multiobjective combinatorial optimization
Pareto local search (PLS) is a natural extension of local search for multiobjective
combinatorial optimization problems (MCOPs). In our previous work, we improved the …
combinatorial optimization problems (MCOPs). In our previous work, we improved the …