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Research on Large-Scale Bi-Level Particle Swarm Optimization Algorithm

open access: yesIEEE Access, 2021
Targeting at the slow convergence and the local optimum problems of particle swarm optimization (PSO), a large-scale bi-level particle swarm optimization algorithm is proposed in this paper, which enlarges the particle swarm scale and enhances the ...
Jia-Jia Jiang   +4 more
doaj   +3 more sources

On Particle Swarm Optimization Algorithm

open access: yesWasit Journal for Pure Sciences, 2023
The swarm particle optimization algorithm is among the most important tools in finding the optimal solution to nonlinear optimization problems. The main goal of this research is an expanded study by developing an effective algorithm to find the optimal ...
Hanan Abdul Hamza
doaj   +2 more sources

Scheduling optimization based on particle swarm optimization algorithm in emergency management of long-distance natural gas pipelines. [PDF]

open access: yesPLoS ONE
This paper aims to solve the scheduling optimization problem in the emergency management of long-distance natural gas pipelines, with the goal of minimizing the total scheduling time.
Huichao Guo, Runhua Huang, Shuqin Cheng
doaj   +2 more sources

Multi-controller Deployment Strategy Based on Delay and Load Balancing [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban, 2021
To address the time delay and load balancing problems faced by multiple controllers deployed in the software definition network (SDN), in this paper, a multi-controller placement algorithm is proposed to reduce the time delay between controllers, and ...
Liu Zhenpeng   +4 more
doaj   +1 more source

Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization [PDF]

open access: yesMATEC Web of Conferences, 2022
The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position ...
Zhang Bingqing
doaj   +1 more source

A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm

open access: yesJournal of Harbin University of Science and Technology, 2022
In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the ...
QIN Chang-li   +4 more
doaj   +1 more source

Research on an Optimization Method for Injection-Production Parameters Based on an Improved Particle Swarm Optimization Algorithm

open access: yesEnergies, 2022
The optimization of injection–production parameters is an important step in the design of gas injection development schemes, but there are many influencing factors and they are difficult to determine. To solve this problem, this paper optimizes injection-
Yukun Dong   +3 more
doaj   +1 more source

MUCPSO: A Modified Chaotic Particle Swarm Optimization with Uniform Initialization for Optimizing Software Effort Estimation

open access: yesApplied Sciences, 2022
Particle Swarm Optimization is a metaheuristic optimization algorithm widely used across a broad range of applications. The algorithm has certain primary advantages such as its ease of implementation, high convergence accuracy, and fast convergence speed.
Ardiansyah Ardiansyah   +2 more
doaj   +1 more source

Overview of multiobjective particle swarm optimization algorithm

open access: yes工程科学学报, 2021
In the real world, the development model of optimization problems tends to be diversified and large scale. Therefore, optimization technologies are facing severe challenges in terms of nonlinearity, multi-dimensionality, intelligence, and dynamic ...
Qian FENG   +3 more
doaj   +1 more source

Application of improved particle swarm optimization algorithm in TDOA

open access: yesAIP Advances, 2022
In order to improve the location accuracy of passive sound source location technology in a complex environment, an improved particle swarm optimization algorithm is proposed.
Zhen-dong Liang, Wen-jun Yi
doaj   +1 more source

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