Evolutionary large-scale multi-objective optimization: A survey
Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in
solving various optimization problems, but their performance may deteriorate drastically …
solving various optimization problems, but their performance may deteriorate drastically …
Particle swarm optimization algorithm: an overview
Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …
motivated by intelligent collective behavior of some animals such as flocks of birds or …
Efficient large-scale multiobjective optimization based on a competitive swarm optimizer
There exist many multiobjective optimization problems (MOPs) containing a large number of
decision variables in real-world applications, which are known as large-scale MOPs. Due to …
decision variables in real-world applications, which are known as large-scale MOPs. Due to …
A multi-objective particle swarm optimization algorithm based on two-archive mechanism
Y Cui, X Meng, J Qiao - Applied soft computing, 2022 - Elsevier
As a powerful optimization technique, multi-objective particle swarm optimization algorithms
have been widely used in various fields. However, performing well in terms of convergence …
have been widely used in various fields. However, performing well in terms of convergence …
FCAN-MOPSO: an improved fuzzy-based graph clustering algorithm for complex networks with multiobjective particle swarm optimization
Performing an accurate clustering analysis is of great significance for us to understand the
behavior of complex networks, and a variety of graph clustering algorithms have, thus, been …
behavior of complex networks, and a variety of graph clustering algorithms have, thus, been …
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
In the past two decades, multi-objective optimization has attracted increasing interests in the
evolutionary computation community, and a variety of multi-objective optimization algorithms …
evolutionary computation community, and a variety of multi-objective optimization algorithms …
A cluster-based competitive particle swarm optimizer with a sparse truncation operator for multi-objective optimization
Many different types of multi-objective optimization problems, eg multi-modal problems and
large-scale problems, have been solved with high performance by numbers of tailored multi …
large-scale problems, have been solved with high performance by numbers of tailored multi …
Particle swarm optimization with a balanceable fitness estimation for many-objective optimization problems
Recently, it was found that most multiobjective particle swarm optimizers (MOPSOs) perform
poorly when tackling many-objective optimization problems (MaOPs). This is mainly …
poorly when tackling many-objective optimization problems (MaOPs). This is mainly …
Performance analysis and multi-objective optimization of bionic dendritic furcal energy-absorbing structures for trains
Rail vehicles offer the characteristics of large carrying capacity and high running speed.
Train accidents usually result in substantial personal casualties and economic losses …
Train accidents usually result in substantial personal casualties and economic losses …
A hybrid path planning method in unmanned air/ground vehicle (UAV/UGV) cooperative systems
In this paper, we study the automatic ground map building and efficient path planning in
unmanned aerial/ground vehicle (UAV/UGV) cooperative systems. Using the UAV, a ground …
unmanned aerial/ground vehicle (UAV/UGV) cooperative systems. Using the UAV, a ground …