A comprehensive survey on particle swarm optimization algorithm and its applications
Y Zhang, S Wang, G Ji - Mathematical problems in engineering, 2015 - Wiley Online Library
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
A survey of learning-based intelligent optimization algorithms
W Li, GG Wang, AH Gandomi - Archives of Computational Methods in …, 2021 - Springer
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …
extensively researched in the past few decades, through the study of natural creatures, and …
Metaheuristic optimization algorithms: A comprehensive overview and classification of benchmark test functions
This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems
IB Aydilek - Applied Soft Computing, 2018 - Elsevier
Optimization in computationally expensive numerical problems with limited function
evaluations provides computational advantages over constraints based on runtime …
evaluations provides computational advantages over constraints based on runtime …
A novel stability-based adaptive inertia weight for particle swarm optimization
M Taherkhani, R Safabakhsh - Applied Soft Computing, 2016 - Elsevier
Particle swarm optimization (PSO) is a stochastic population-based algorithm motivated by
intelligent collective behavior of birds. The performance of the PSO algorithm highly …
intelligent collective behavior of birds. The performance of the PSO algorithm highly …
[HTML][HTML] Particle swarm optimization based on dimensional learning strategy
In traditional particle swarm optimization (PSO) algorithm, each particle updates its velocity
and position with a learning mechanism based on its personal best experience and the …
and position with a learning mechanism based on its personal best experience and the …
Self regulating particle swarm optimization algorithm
In this paper, we propose a new particle swarm optimization algorithm incorporating the best
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
A tandem robotic arm inverse kinematic solution based on an improved particle swarm algorithm
G Zhao, D Jiang, X Liu, X Tong, Y Sun, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
The analysis of robot inverse kinematic solutions is the basis of robot control and path
planning, and is of great importance for research. Due to the limitations of the analytical and …
planning, and is of great importance for research. Due to the limitations of the analytical and …
A surrogate-assisted multiswarm optimization algorithm for high-dimensional computationally expensive problems
This article presents a surrogate-assisted multiswarm optimization (SAMSO) algorithm for
high-dimensional computationally expensive problems. The proposed algorithm includes …
high-dimensional computationally expensive problems. The proposed algorithm includes …
Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators
S Wang, G Liu, M Gao, S Cao, A Guo, J Wang - Information Sciences, 2020 - Elsevier
In this paper, a heterogeneous comprehensive learning and dynamic multi-swarm particle
swarm optimizer with two mutation operators (HCLDMS-PSO) is presented. In addition, a …
swarm optimizer with two mutation operators (HCLDMS-PSO) is presented. In addition, a …