Results 11 to 20 of about 3,109,206 (294)

Hovering Swarm Particle Swarm Optimization [PDF]

open access: yesIEEE Access, 2021
PSO es un algoritmo de búsqueda metaheurística simple pero potente ampliamente utilizado para resolver diversos problemas de optimización. Sin embargo, la OSP convencional tiende a perder su diversidad de población drásticamente y sufre con un rendimiento comprometido al encontrarse con los problemas de optimización con paisajes de fitness complejos ...
Aasam Abdul Karim   +2 more
openaire   +3 more sources

Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]

open access: yes, 2008
Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović   +12 more
core   +5 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

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

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

An adaptive mutation operator for particle swarm optimization [PDF]

open access: yes, 2008
Copyright @ 2008 MICParticle swarm optimization (PSO) is an effcient tool for optimization and search problems. However, it is easy to betrapped into local optima due to its in-formation sharing mechanism.
Yang, S, Li, C, Korejo, I
core   +5 more sources

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