Self-organizing genetic algorithm based tuning of PID controllers

Zhang, Jinhua; Zhuang, Jian; Du, Haifeng; Wang, Sunan

doi:10.1016/j.ins.2008.11.038

Cited by 161 publications

(61 citation statements)

References 12 publications

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“…The major drawback is that the PSO converges easily to a stable point. Genetic algorithms are significantly helpful in feature selection, while mining the data [16][17][18]. A genetic algorithm grounded structure is proposed in [19] to determine feature set segregating responsibilities.…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2016

IJSC

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Privacy preservation is that the most targeted issue in information publication, because the sensitive data shouldn't be leaked. For this sake, several privacy preservation data mining algorithms are proposed. In this work, feature selection using evolutionary algorithm and data masking coupled with slicing is treated as a multiple objective optimisation to preserve privacy. To start with, Genetic Algorithm (GA) is carried out over the datasets to perceive the sensitive attributes and prioritise the attributes for treatment as per their determined sensitive level. In the next phase, to distort the data, noise is added to the higher level sensitive value using Hybrid Data Transformation (HDT) method. In the following phase slicing algorithm groups the correlated attributes organized and by this means reduces the dimensionality by retaining the Advanced Clustering Algorithm (ACA). With the aim of getting the optimal dimensions of buckets, tuple segregating is accomplished by Metaheuristic Firefly Algorithm (MFA). The investigational consequences imply that the anticipated technique can reserve confidentiality and therefore the information utility is additionally high.Slicing algorithm allows the protection of association and usefulness in which effects in decreasing the information dimensionality and information loss. Performance analysis is created over OCC 7 and OCC 15 and our optimization method proves its effectiveness over two totally different datasets by showing 92.98% and 96.92% respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Untitled

2016

IJSC

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“…GAs have found to be useful in many data mining tasks in general and in feature selection in particular [18,23,68]. Empirical comparisons between GAs and other kinds of feature selection methods can be found in [59] as well as in [36].…”

Section: Genetic Algorithm-based Searchmentioning

confidence: 99%

Privacy-preserving data mining: A feature set partitioning approach

Matatov

Rokach

Maimon

2010

Information Sciences

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“…Em literaturas recentes são apresentadas diversas sintonias de controladores PID de sistemas de uma entrada e uma saída (SISO) utilizando algoritmos evolucionários como os de algoritmos genéticos (Ayala e Coelho, 2012;Bindu e Namboothiripad, 2012;Zhang et al, 2009), o algoritmo de otimização de colônia de formigas (Coelho e Bernert, 2010;Tomera, 2014), otimização em espiral (Nasir et al, 2012), multi-parâmetros divergentes (Alagoz et al, 2013), e enxame de partículas (Greco et al, 2014;Jaafar et al, 2012;Latha et al, 2013).…”

Section: Introductionunclassified

Sintonia De Controlador Pid Utilizando Os Métodos R2w E Pso

Lopes

2017

Engevista

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Resumo: O trabalho aborda técnicas de sintonia de controladores PID (proporcional-integral-derivativo) através de algoritmos evolucionários e a análise de eficiência entre os dois. Foram implementados os algoritmos de enxame de partículas (PSO) e o R2W. Neste caso, a função objetivo passa a ser a saída da planta com o controlador PID, sobressinal, tempo de acomodação e resíduo. O resultado deve conter os parâmetros ótimos de Kp, Ti, e Td, que satisfaçam a especificação de desempenho esperada para uma resposta ao degrau. Estas duas técnicas de procura aleatória garantem maior rapidez e facilidade na busca de ganhos necessários para o controlador por se manter na procura da resposta desejada para o sistema em malha fechada. Os resultados experimentais reforçam a eficiência dos métodos que garantem melhor desempenho que a sintonia clássica de Ziegler-Nichols e, apesar do método PSO possuir um maior número de pesquisas, o método de R2W se mostrou mais eficiente para os problemas de controle propostos. Palavras-chave:Sintonia PID, PSO, R2W, otimização 1 IME -Instituto Militar de Engenharia

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Self-organizing genetic algorithm based tuning of PID controllers

Cited by 161 publications

References 12 publications

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Privacy-preserving data mining: A feature set partitioning approach

Sintonia De Controlador Pid Utilizando Os Métodos R2w E Pso

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