Results 1 to 10 of about 28,471 (138)
A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm. [PDF]
PLoS ONE, 2016 Particle swarm optimization (PSO) is an evolutionary computing method based on intelligent collective behavior of some animals. It is easy to implement and there are few parameters to adjust.
Mohammad Javad Amoshahy +2 more
doaj +5 more sources
A modified shuffled frog leaping algorithm with inertia weight [PDF]
Scientific Reports, 2023 The shuffled frog leaping algorithm (SFLA) is a promising metaheuristic bionics algorithm, which has been designed by the shuffled complex evolution and the particle swarm optimization (PSO) framework. However, it is easily trapped into local optimum and
Zhuanzhe Zhao +5 more
doaj +4 more sources
A Method of Biomedical Information Classification based on Particle Swarm Optimization with Inertia Weight and Mutation [PDF]
Open Life Sciences, 2018 With the rapid development of information technology and biomedical engineering, people can get more and more information. At the same time, they begin to study how to apply the advanced technology in biomedical information.
Li Mi, Zhang Ming, Chen Huan, Lu Shengfu
doaj +2 more sources
A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters [PDF]
Entropy, 2023 Support vector machine (SVM) is a widely used and effective classifier. Its efficiency and accuracy mainly depend on the exceptional feature subset and optimal parameters.
Jing Wang +3 more
doaj +2 more sources
Dynamic Inertia Weight Binary Bat Algorithm with Neighborhood Search. [PDF]
Comput Intell Neurosci, 2017 Binary bat algorithm (BBA) is a binary version of the bat algorithm (BA). It has been proven that BBA is competitive compared to other binary heuristic algorithms. Since the update processes of velocity in the algorithm are consistent with BA, in some cases, this algorithm also faces the premature convergence problem.
Huang X, Zeng X, Han R.
europepmc +4 more sources
Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight [PDF]
Sensors, 2018 This paper presents a particle swarm tracking algorithm with improved inertia weight based on color features. The weighted color histogram is used as the target feature to reduce the contribution of target edge pixels in the target feature, which makes ...
Siqiu Guo +3 more
doaj +2 more sources
Robotic Arm Trajectory Planning for Tunnel Lighting Cleaning Based on the CAW-PSO Algorithm [PDF]
SensorsTunnel lighting cleaning is of significant practical importance for improving driving safety. To address the low operational efficiency of tunnel lighting cleaning tasks, a trajectory planning method based on the chaotic adaptive whale–particle swarm ...
Zhibin Yao +4 more
doaj +2 more sources
Cogent Engineering, 2020 The article presents a modified Cooperative Particle Swarm Optimization with Inertia Weight (CPSOIW) for Smart-technology of forecasting and control of complex objects.
G. Samigulina, Zh. Massimkanova
doaj +2 more sources
Applied Sciences, 2022 In this study, a particle swarm optimization with a sigmoid increasing inertia weight (SIPSO) algorithm is proposed for structural damage identification based on the optimization of structural vibration response constraints.
Zhen Chen +4 more
doaj +1 more source
Entropy, 2021 Setting sights on the problem of input-output constraints in most industrial systems, an implicit generalized predictive control algorithm based on an improved particle swarm optimization algorithm (PSO) is presented in this paper. PSO has the advantages
Jinfang Zhang +3 more
doaj +1 more source