Results 21 to 30 of about 82,097 (301)

Multirobot task allocation based on an improved particle swarm optimization approach

open access: yesInternational Journal of Advanced Robotic Systems, 2017
Due to its complexity and non-deterministic polynomial-time hard characteristic, multirobot task allocation problem remains a challenging issue in the field of cooperative robotics.
Zhanxia Zhu, Biwei Tang, Jianping Yuan
doaj   +1 more source

Research on Bearing Fault Diagnosis Method Based on IPSO-RVM

open access: yesJournal of Harbin University of Science and Technology, 2022
Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han   +4 more
doaj   +1 more source

An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]

open access: yes, 2006
In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar   +5 more
core   +1 more source

Hybrid Modified Particle Swarm Optimization Algorithm for Adjustment of Water Distribution Network Coefficients [PDF]

open access: yesآب و فاضلاب, 2019
Regarding the complexity of WDNs, the need for computerized modelling of WDNs is felt more than ever for monitoring their performance at the operational stage.
Mehdi Dini
doaj   +1 more source

Effects of Particle Swarm Optimization and Genetic Algorithm Control Parameters on Overcurrent Relay Selectivity and Speed

open access: yesIEEE Access, 2022
Distribution systems continue to grow and becoming more complex with increasing operational challenges such as protection miscoordination. Initially, conventional methods were favoured to solve overcurrent relay coordination problems; however, the ...
Sethembiso Nonjabulo Langazane   +1 more
doaj   +1 more source

Improved quantum-behaved particle swarm optimization with local search strategy

open access: yesJournal of Algorithms & Computational Technology, 2017
Quantum-behaved particle swarm optimization, which was motivated by analysis of particle swarm optimization and quantum system, has shown compared performance in finding the optimal solutions for many optimization problems to other evolutionary ...
Maolong Xi   +4 more
doaj   +1 more source

Dissipative particle swarm optimization

open access: yesProceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003
A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness.
Xiao-Feng Xie 0001   +2 more
openaire   +2 more sources

Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization

open access: yesJournal of Algorithms & Computational Technology, 2018
Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and promote the harmonious development of transportation, a traffic fatalities prediction model based on support vector machine is established in this paper ...
Xiaoning Gu   +5 more
doaj   +1 more source

Parallelized Particle Swarm Optimization on FPGA for Realtime Ballistic Target Tracking

open access: yesSensors, 2023
This paper addresses the problem of tracking a high-speed ballistic target in real time. Particle swarm optimization (PSO) can be a solution to overcome the motion of the ballistic target and the nonlinearity of the measurement model. However, in general,
Juhyeon Park   +4 more
doaj   +1 more source

Particle Swarm Optimization [PDF]

open access: yes, 2017
Optimization algorithms are necessary to solve many problems such as parameter tuning. Particle Swarm Optimization (PSO) is one of these optimization algorithms. The aim of PSO is to search for the optimal solution in the search space. This paper highlights the basic background needed to understand and implement the PSO algorithm.
Tharwat, A   +3 more
openaire   +1 more source

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