A Particle Swarm Optimization Algorithm with Gradient Perturbation and Binary Tree Depth First Search Strategy
In this study, a particle swarm optimization (PSO) algorithm with a negative gradient perturbation and binary tree depth-first strategy (GB-PSO) is proposed. The negative gradient term accelerates particle optimization in the direction of decreasing the objective function value. To calculate the ste...
Saved in:
Main Authors: | Xionghua Huang, Tiaojun Zeng, MinSong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2022/6599899 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Adaptive Particle Swarm Optimization Algorithm for Distributed Search and Collective Cleanup in Complex Environment
by: Yi Cai, et al.
Published: (2013-12-01) -
Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization
by: Shuhan Chen, et al.
Published: (2017-01-01) -
An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism
by: Fei Han, et al.
Published: (2018-01-01) -
Parallel Swarms Oriented Particle Swarm Optimization
by: Tad Gonsalves, et al.
Published: (2013-01-01) -
Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization
by: Weijie Xia, et al.
Published: (2016-01-01)