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On Particle Swarm Optimization Algorithm
Wasit 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
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Scheduling optimization based on particle swarm optimization algorithm in emergency management of long-distance natural gas pipelines. [PDF]
PLoS ONEThis 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
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Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization [PDF]
MATEC 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
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A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm
Journal 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
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Energies, 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
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Overview of multiobjective particle swarm optimization algorithm
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
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Applied 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
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Application of improved particle swarm optimization algorithm in TDOA
AIP 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
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Intelligent optimization method of joint firepower strike plan based on CE-QPSO algorithm [PDF]
Zhihui kongzhi yu fangzhen, 2023 Aiming at the problem of "fast and precise" in the optimization of joint fire strike scheme, a cross-entropy-quantum particle swarm optimization algorithm is designed, and an intelligent optimization method of joint fire strike scheme based on this ...
WANG Zancheng, HE Xiaoyuan
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Fast multi-swarm optimization for dynamic optimization problems [PDF]
, 2008 This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
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