A modified PSO algorithm for linear optimization problem subject to the generalized fuzzy relational inequalities with fuzzy constraints (FRI-FC)

Ghodousian, Amin; Parvari, Maryam Raeisian

doi:10.1016/j.ins.2017.07.032

Cited by 26 publications

(11 citation statements)

References 65 publications

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“…This method is a swarm intelligent optimization algorithm, and it has the advantages of few parameters, easy adjustment, and easy to fall into a local optimum. In order to obtain the global optimal approximate solution [33], this paper introduces the idea of genetic algorithm mutation in particle swarm algorithm to construct a genetic mutation particle swarm algorithm.…”

Section: Determination Of Vmd Penalty Factor Based On Pso Algorithm Optimizationmentioning

confidence: 99%

Parameter identification of oscillations in power systems based on improved variational modal decomposition and HTLS-adaline method

Wan¹,

Wang²,

Wu³

2021

J. vibroeng.

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Oscillation has become one of the important problems faced by modern power grids. Multi-types of oscillations may occur simultaneously in the power system and the oscillation frequency span is extremely large. For signals with wide-band oscillation modes, the signals in different frequency bands are first separated by a band-pass filter, and then the Improved Variational Mode Decomposition (IVMD) method with high noise robustness is used to extract each oscillating mode signal. Finally, the combinations of Hankel total least squares (HTLS) and adaptive neural network algorithm (Adaline ANN) is used to estimate the frequency, attenuation factor, amplitude and phase of low-frequency oscillations. Furthermore, the introduction of Adaline neural network solves the problem that the mode amplitude and phase are difficult to determine after IVMD processing, so that the detection accuracy is improved. Simulation and case analysis show that this method can effectively distinguish and extract different types of oscillation modes in the signal, and accurately identify the information of each mode. The IVMD-HTLS-Adaline method can effectively identify signals that have experienced severe oscillations or noise-like signals with potential oscillations.

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Section: Determination Of Vmd Penalty Factor Based On Pso Algorithm Optimizationmentioning

confidence: 99%

Parameter identification of oscillations in power systems based on improved variational modal decomposition and HTLS-adaline method

Wan¹,

Wang²,

Wu³

2021

J. vibroeng.

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“…Each particle has a fitness value obtained by the objective function. The bird that is closer to food is more desirable [11]. Steps of PSO algorithm and Equation of it are as follow:…”

Section: B Particle Swarm Optimizationmentioning

confidence: 99%

Cloud Platform Real-time Measurement and Verification Procedure for Energy Efficiency of Washing Machines

Memari

Mohammadi

Ghaderi

2018

Annals of Computer Science and Information Systems

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Industrial administrators are promoting approaches to improve energy efficiency and developing smart homes and appliances. Development of green technology requires accurate models. Real-time Measurement and Verification (M&V) procedure is used to quantify energy performance. It is conducted through short-term on-site measurements and engineering calculation. The period of this procedure lasts for several months or up to a year so the failure to immediately detect abnormal energy efficiency decreases energy performance so timely correction of appliances will be unable and the opportunity to adjust or repair them will be missed. In this study, a cloud computing platform is established to measure the washing machine energy consumption parameters and calculate energy savings which consist of load sensors and fuzzy control. Timeseries data are transmitted to the cloud environment through the network and saved in databases. On this platform, for constructing accurate models, integration of the particle swarm optimization (PSO), M&V methodologies and multivariate regression analysis are used. After uploading energy consumption data directly, pre-installation energy baseline model is created and post-installation real-time energy performance calculation is obtained. Observing fluctuations of washing machine energy consumptions provides realtime monitoring or correction of the operating performance of the appliance or system and then good energy performance can be obtained. The aim of this study is to gain real-time and long-term energy performance information and automatic calculations of energy savings on washing machines. Using this cloud platform for home appliances could help the manufacturers to promote energy efficiency programs on smart appliances.

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“…Since then, many researchers studied different FREs defined by various types of t-norm operators [6][7][8][9][10][11][12][13][14][15][16][17][18]. Moreover, some other researchers have worked on introducing a novel concept, and at times improving some of the existing theoretical aspects and applications of fuzzy relational inequalities (FRI) [19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

A non-linear generalization of latticized optimization problems subjected to continuous max-t-norm fuzzy relational inequalities

Ghodousian

Rad

Ghodousian

2022

Preprint

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Recently, the latticized linear programming problems subjected to max-min and max-product fuzzy relational inequalities (FRI) have been studied extensively and have been utilized in many interesting applications. In this paper, we introduce a new generalization of the latticized optimization problems whose objective is a non-linear function defined by an arbitrary continuous s-norm (t-conorm), and whose constraints are formed as an FRI defined by an arbitrary continuous t-norm. Firstly, the feasible region of the problem is completely characterized and two necessary and sufficient conditions are proposed to determine the feasibility of the problem. Also, a general method is proposed for finding the exact optimal solutions of the non-linear model. Then, in order to accelerate the general method, five simplification techniques are provided that reduce the work of computing an optimal solution. Additionally, a polynomial-time method is presented for solving general latticized linear optimization problems subjected to the continuous FRI. These special cases of the primal problem give some extensions of the result in Yang. Et. al., where the latticized linear programming subjected to max-product FRI is considered. Moreover, an application of the proposed non-linear model is described where the objective function and the FRI are defined by the well-known Lukasiewicz s-norm and product t-norm, respectively. Finally, a numerical example is provided to illustrate the proposed algorithm.

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A modified PSO algorithm for linear optimization problem subject to the generalized fuzzy relational inequalities with fuzzy constraints (FRI-FC)

Cited by 26 publications

References 65 publications

Parameter identification of oscillations in power systems based on improved variational modal decomposition and HTLS-adaline method

Parameter identification of oscillations in power systems based on improved variational modal decomposition and HTLS-adaline method

Cloud Platform Real-time Measurement and Verification Procedure for Energy Efficiency of Washing Machines

A non-linear generalization of latticized optimization problems subjected to continuous max-t-norm fuzzy relational inequalities

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