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Hovering Swarm Particle Swarm Optimization [PDF]

open access: yesIEEE Access, 2021
PSO is a simple and yet powerful metaheuristic search algorithm widely used to solve various optimization problems. Nevertheless, conventional PSO tends to lose its population diversity drastically and suffer with compromised performance when ...
Aasam Abdul Karim   +2 more
doaj   +2 more sources

Memetic particle swarm optimization

open access: yesAnnals of Operations Research, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
K E Parsopoulos   +2 more
exaly   +3 more sources

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

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

Adaptive Particle Swarm Optimization [PDF]

open access: yesIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps.
Zhi-hui Zhan   +3 more
openaire   +4 more sources

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

A Particle Swarm Optimization Backtracking Technique Inspired by Science-Fiction Time Travel

open access: yesAI, 2022
Artificial intelligence techniques, such as particle swarm optimization, are used to solve problems throughout society. Optimization, in particular, seeks to identify the best possible decision within a search space.
Bob Fedor, Jeremy Straub
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

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

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

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