A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2010 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
Wang, H +11 more
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GA-PSO Algorithm for Microseismic Source Location
Applied SciencesAccurate source location is a critical component of microseismic monitoring and early warning systems. To improve the accuracy of microseismic source location, this manuscript proposes a GA-PSO algorithm that combines the Genetic Algorithm (GA) with ...
Yaning Han +3 more
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Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application [PDF]
Frontiers in Big DataAs the volume and velocity of Big Data continue to grow, traditional cloud computing approaches struggle to meet the demands of real-time processing and low latency.
Muhammad Saad +3 more
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An adaptive Michigan approach PSO for nearest prototype classification [PDF]
, 2007 Proceedings of: Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007.Nearest Prototype methods can be quite successful on many pattern ...
Galván, Inés M. +2 more
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AMPSO: A new Particle Swarm Method for Nearest Neighborhood Classification [PDF]
, 2009 Nearest prototype methods can be quite successful on many pattern classification problems. In these methods, a collection of prototypes has to be found that accurately represents the input patterns.
Galván, Inés M. +2 more
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A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm [PDF]
, 2005 IEEE Congress on Evolutionary Computation. Edimburgo, 5 september 2005This paper shows the performance of the binary PSO algorithm as a classification system.
Galván, Inés M. +2 more
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Comparison between RLS-GA and RLS-PSO for Li-ion battery SOC and SOH estimation: a simulation study
Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2017 This paper proposes a new method of concurrent SOC and SOH estimation using a combination of recursive least square (RLS) algorithm and particle swarm optimization (PSO).
Latif Rozaqi +2 more
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An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]
, 2011 This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
Blackwell, Tim +6 more
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Journal of ICT, 2019 This paper proposes a Hybrid Improved Bacterial Swarm (HIBS) optimization algorithm for the minimization of Equal Error Rate (EER) as a performance measure in a hand-based multimodal biometric authentication system. The hybridization of the algorithm was
Karthikeyan Shanmugasundaram +2 more
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Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 2007 IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Galván, Inés M. +8 more
core +1 more source