Modeling and Control of an Irrigation Station Process Using Heterogeneous Cuckoo Search Algorithm and Fuzzy Logic Controller

Chrouta, Jaouher; Chakchouk, Wael; Zaafouri, Abderrahmen; Jemli, Mohamed

doi:10.1109/tia.2018.2871392

Cited by 40 publications

(18 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Buaklee and Hongesombut (2013), CS algorithm was used to maintain fault level and the voltage fluctuations within acceptable level, thus minimize real power losses in a smart grid. Recently, in order to identify the structure and parameters of the TS fuzzy model of an irrigation station, Chrouta et al (2018) used CS strategy to obtain simultaneously all the model’s structures and parameters. In another review about maximum power point tracking of PV system-based CS algorithm, this algorithm, with a limited number of parameters to adjust, able to provide advantages such as high efficiency and a fast convergence (Mosaad et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Constrained cuckoo search algorithm and Takagi-Sugeno fuzzy models for predictive control

Taeib

Salhi

Châari

2020

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

In this paper, a new predictive control scheme formulated by using the Takagi-Sugeno fuzzy modeling method and a new constrained cuckoo search algorithm. The cuckoo search algorithm is used to determine the predictive controls by minimizing a constrained criterion. The Takagi-Sugeno fuzzy modelling approach is applied to forecast the states of the process. At the optimization stage, the proposed cuckoo search provides the control action taking into account constraints. The performances of the developed method are tested during its application in the three-tank process. Therefore, the experimental results demonstrate that the combination of the philosophy of the fuzzy model and cuckoo search is very good in the controlling of nonlinear processes. In addition, the closed-loop performance of the developed method is compared to approach based with the particle swarm optimisation algorithm and those obtained with fuzzy model predictive controller.

show abstract

Section: Introductionmentioning

confidence: 99%

RETRACTED: Constrained cuckoo search algorithm and Takagi-Sugeno fuzzy models for predictive control

Taeib

Salhi

Châari

2020

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

“…According to the fuzzy rule table, the fuzzy inference can process the complex problem. In this paper, the Mamdani fuzzy rules used to deal with the objective model [36]. The rules are:…”

Section: Proposed Methodsmentioning

confidence: 99%

Network video quality assessment method using fuzzy decision tree

Shi

Huang

2019

IET Communications

View full text Add to dashboard Cite

“…In summary, [39] and [40] replaced pure LFRW with a combination of quantum-behaved mechanisms and Lévy flight as follows:…”

Section: Cuckoo Search With Quantum-behaved Mechanismsmentioning

confidence: 99%

Impacts of Linnik Flight Usage Patterns on Cuckoo Search for Real-Parameter Global Optimization Problems

2019

View full text Add to dashboard Cite

Several contemporary algorithms, including cuckoo search (CS), were applied to the CEC 2017 problem set, which includes a wide variety of 120 very difficult subproblems. We found that the algorithms were ineffective, especially when the number of dimensions was high. We configured several usage patterns of Linnik flight with the inverse of the golden ratio (1/ ) to replace Lévy flight in CS, resulting in a new search mechanism that increased the efficiency of the CS algorithm. The impacts of each Linnik flight usage pattern were evaluated using the CEC 2017. The experimental results showed that: 1) CS variants that used Linnik flight were more capable than CS variants that used Lévy flight and 2) CS variants that used a mixture of Linnik flight and quantum-behaved mechanisms were even more capable. The primary effect of Linnik flight is the strengthening of the ranking, while that of the quantum-behaved mechanisms is a decreased error. A chaotic-initialized quantum-Linnik flight CS (CQLCS) algorithm is proposed. Among the 66 competitive methods applied to the CEC 2017, CQLCS ranked first and won the contemporary competitive algorithms section, which also included several advanced variants of differential evolution (DE) and particle swarm optimization (PSO) algorithms. The CQLCS could potentially be improved further by adjusting the probability of the occurrence of Linnik flight. The processes for building improved variants were analyzed to discover how, or if, this improvement could be achieved. Finally, the CQLCS algorithm required fewer lines of code to run than did the DE and PSO variants.

show abstract

Modeling and Control of an Irrigation Station Process Using Heterogeneous Cuckoo Search Algorithm and Fuzzy Logic Controller

Cited by 40 publications

References 34 publications

RETRACTED: Constrained cuckoo search algorithm and Takagi-Sugeno fuzzy models for predictive control

RETRACTED: Constrained cuckoo search algorithm and Takagi-Sugeno fuzzy models for predictive control

Network video quality assessment method using fuzzy decision tree

Impacts of Linnik Flight Usage Patterns on Cuckoo Search for Real-Parameter Global Optimization Problems

Contact Info

Product

Resources

About