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A clustering particle swarm optimizer for dynamic optimization [PDF]
, 2009 This article is posted here with permission of the IEEE - Copyright @ 2009 IEEEIn the real world, many applications are nonstationary optimization problems.
Li, C, Yang, S
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Improved SpikeProp for Using Particle Swarm Optimization [PDF]
Mathematical Problems in Engineering, 2013 A spiking neurons network encodes information in the timing of individual spike times. A novel supervised learning rule for SpikeProp is derived to overcome the discontinuities introduced by the spiking thresholding. This algorithm is based on an error-backpropagation learning rule suited for supervised learning of spiking neurons that use exact spike ...
Ahmed, Falah Y. H. +2 more
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Machines, 2022 For the problem of defect inversion in magnetic flux leakage technology, a fast, globally convergent particle swarm optimization algorithm based on the finite-element forward model is introduced as an inverse iterative algorithm in this paper.
Senxiang Lu +3 more
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Geodesy and Geodynamics, 2023 To estimate the parameters of the mixed additive and multiplicative (MAM) random error model using the weighted least squares iterative algorithm that requires derivation of the complex weight array, we introduce a derivative-free cat swarm optimization ...
Leyang Wang, Shuhao Han
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Agronomy, 2023 In the factory nursery, qualified seedlings can be used to replant unqualified seedlings or missing seedlings in the seedling tray through automatic transplanters.
Erjie Sun, Zhang Xiao, Yu Tan
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Improved dynamical particle swarm optimization method for structural dynamics [PDF]
, 2019 A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in
Annicchiarico, W. C. +1 more
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IEEE Access, 2021 This paper proposes combining an improved particle swarm optimization and Pareto archive algorithm to solve the multi-objective reactive power optimization problem.
Xiaofei Liu +3 more
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Using intelligent optimization methods to improve the group method of data handling in time series prediction [PDF]
, 2008 In this paper we show how the performance of the basic algorithm of the Group Method of Data Handling (GMDH) can be improved using Genetic Algorithms (GA) and Particle Swarm Optimization (PSO).
A. Episcopos +7 more
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An Improved Particle Swarm Optimization Algorithm for Data Classification
Applied Sciences, 2022 Optimisation-based methods are enormously used in the field of data classification. Particle Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely used to solve global optimisation problems throughout the real world ...
W. Bangyal +6 more
semanticscholar +1 more source
Virtual machine-based task scheduling algorithm in a cloud computing environment [PDF]
, 2016 Virtualization technology has been widely used to virtualize single server into multiple servers, which not only creates an operating environment for a virtual machine-based cloud computing platform but also potentially improves its efficiency. Currently,
Chen, Kun +3 more
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