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13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS)

作者： Patel, Himanshukumar R. Shah, Vipul A. Dharmsinh Desai Univ Nadiad 387001 Gujarat India

The goal of this research is to improve the harmonic search (HS) algorithm by using type-1 and interval type-2 fuzzy systems to dynamically change one of the evolutionary method's parameters. We have previously used both sorts of fuzzy systems in a variety of benchmark challenges and discovered that using fuzzy logic in conjunction with the harmonic search algorithm produces good results. In some of the experiments, it is clearly demonstrated that our methodology is statistically superior to other algorithms. Using type-1 and interval type-2 fuzzy systems, the harmony memory (HMR) parameter is dynamically changed during the evolution process in this example. The fundamental contribution of this work is the capacity to establish, by experimentation in a benchmark control issue, which of the two types of fuzzy systems employed with the harmonic search method produces better results. This is because there are no previous studies to our idea that employ and compare type-1 and interval type-2 fuzzy systems. Furthermore, three type of uncertainties are employed in the benchmark two-tank level control system to assess the performance of both fuzzy systems, simulating the disturbances that may present in the actual world and therefore allowing statistical validation if there are substantial differences between type-1 and interval type-2 fuzzy systems. Copyright (c) 2022 The Authors. This is an open access article under the CC BY-NC-ND license(https://***/licenses/by-nc-nd/4.0/)

关键词： harmonic search algorithm Fuzzy controller Type-2 fuzzy systems Fuzzy sets

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Comparative Analysis Between Two Fuzzy Variants of harmonic search algorithm: Fuzzy Fault Tolerant Control Application

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IFAC-PapersOnLine 2022年第7期55卷 507-512页

作者： Himanshukumar R. Patel Vipul A. Shah Dharmsinh Desai University Nadiad-387001 Gujarat India

关键词： harmonic search algorithm Fuzzy controller Type-2 fuzzy systems Fuzzy sets

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Unconstrained Asymmetric FIR Filter Design Using harmonic search algorithm

Unconstrained Asymmetric FIR Filter Design Using Harmonic Se...

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IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)

作者： Kwan, Hon Keung Univ Windsor Dept Elect & Comp Engn 401 Sunset Ave Windsor ON N9B 3P4 Canada

ISBN: (纸本)9781538624104

An unconstrained joint optimization method for asymmetric FIR digital filter design using the harmonic search algorithm is presented. Lowpass and bandpass digital filter examples are used to demonstrate the design procedure. Design results indicate that the passband and stopband magnitude errors and the passband group delay error can be minimized effectively using the harmonic search algorithm.

关键词： FIR filter design harmonic search algorithm joint optimization unconstrained optimization lowpass digital filter bandpass digital filter

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Unconstrained Asymmetric FIR Filter Design Using harmonic search algorithm

Unconstrained Asymmetric FIR Filter Design Using Harmonic Se...

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IEEE Canadian Conference on Electrical and Computer Engineering

作者： Hon Keung Kwan Department of Electrical and Computer Engineering University of Windsor 401 Sunset Avenue Windsor Ontario N9B3P4 Canada

ISBN: (纸本)9781538624111

关键词： FIR filter design harmonic search algorithm joint optimization unconstrained optimization lowpass digital filter bandpass digital filter

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Cost-Effective Optimization of Sizing and Charging Profiles for PHEV Parking Lots in Smart Microgrids Using Harmony search algorithm

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IEEE ACCESS 2025年 13卷 79053-79069页

作者： Kamarposhti, Mehrdad Ahmadi Shokouhandeh, Hassan Ahmed, Emad M. Zaki, Zaki A. Colak, Ilhami Barhoumi, El Manaa Eguchi, Kei Islamic Azad Univ Dept Elect Engn Jo C Jouybar Iran NUS Dept Elect Engn Tehran *** Iran Jouf Univ Coll Engn Dept Elect Engn Sakaka 72388 Al Jouf Saudi Arabia Istinye Univ Fac Engn & Nat Sci Dept Elect & Elect Engn TR-34010 Istanbul Turkiye Dhofar Univ Coll Engn Dept Elect & Comp Engn Salalah Oman Fukuoka Inst Technol Dept Informat Elect Fukuoka 8110295 Japan

This paper presents an optimization approach for managing the charging and discharging of electric vehicles (EVs) in parking lots using the Harmony search (HS) and Differential Evolution (DE) algorithms. The study is conducted on a standard IEEE 33-bus grid considering three EV penetration levels: 11.3%, 35%, and 45%. The objective is to minimize operational costs while improving grid performance. Simulation results indicate that increasing EV penetration slightly raises overall expenses due to the higher cost of vehicle charging compared to the revenue from discharging. However, EV participation significantly reduces ohmic losses and improves the grid load profile. The proposed HS algorithm outperforms the DE algorithm by achieving lower microgrid costs and better convergence efficiency. Specifically, HS reduces energy losses by up to 40%, demonstrating its effectiveness in optimizing energy management for microgrids with high EV integration.

关键词： Costs Microgrids Energy management Linear programming Planning Electric vehicles Batteries Pollution Optimization Production Electric vehicle parking lots smart microgrid cost reduction harmonic search algorithm

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Simulation and Comparison Between Fuzzy harmonic search and Differential Evolution algorithm: Type-2 Fuzzy Approach

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IFAC-PapersOnLine 2022年第16期55卷 412-417页

作者： Himanshukumar R. Patel Vipul A. Shah Dharmsinh Desai University Nadiad-387001 Gujarat India

The harmony search (HS) and differential evolution (DE) algorithms are compared in this study. Additionally, an interval type-2 fuzzy logic system (IT2FLS) allowing dynamic change of the key parameters is offered for each algorithm. The use of fuzzy systems to dynamically alter the primary parameters for each algorithm seeks to improve the performance of the associated algorithms. The optimal design of fuzzy systems for benchmark control issues, particularly in fuzzy controller design, is used to evaluate and compare each algorithm (IT2FHS and IT2FDE). Simulation results demonstrate that the FHS method outperforms the FDE approach when it comes to fuzzy controller optimization. The better errors are found with the application of fuzzy systems to enhance each proposed algorithm, according to statistics.

关键词： harmonic search algorithm Differential Evolution algorithms Fuzzy controller Type-2 fuzzy systems Perturbation

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Fuzzy-based metaheuristic algorithm for optimization of fuzzy controller:fault-tolerant control application

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International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 599-624页

作者： Himanshukumar Rajendrabhai Patel Department of Instrumentation and Control Engineering Faculty of TechnologyDharmsinh Desai UniversityNadiadIndia

Purpose-Fuzzy-based metaheuristic algorithm is used to optimize the fuzzy controllers for the nonlinear level control system subject to uncertainty specially in the main actuator that has lost effectiveness(LOE).To optimize the fuzzy controller,type-1 harmonic search(HS)and interval type-2(HS)will be ***/methodology/approach-The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for Fault-Tolerant Control(FTC)applications,and this research proposes a fuzzy-based HS metaheuristic *** performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has lost effectiveness(LOE)and also the same controller will be tested on DC motor angular position control with and without ***-The key contribution of this work is the discovery of the best approach for generating an optimal vector of values for the fuzzy controller’s membership function *** is done in order to improve the controller’s performance,bringing the process value of the two-tank level control process closer to the target process value(set point).It is worth noting that the type-1 fuzzy controller that has been optimized is an interval type-2 fuzzy system,which can handle more uncertainty than a type-1 fuzzy ***/value-The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for FTC applications,and this research proposes a fuzzy-based HS metaheuristic *** performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has LOE will be tested on DC motor angular position control with *** nonlinear uncertain processes are used to demonstrate the effectiveness of the proposed control scheme.

关键词： harmonic search algorithm Fuzzy controller Type-2 fuzzy systems Fuzzy sets

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Study on the Application of Foamed Lightweight Soil in Road Widening Project: A Numerical Insight

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MATERIALS 2024年第22期17卷 5432页

作者： Li, Pu-Hao Yan, Ke-Zhen Hunan Univ Coll Civil Engn Changsha 410082 Peoples R China

This paper introduces a novel retaining wall structure that integrates a traditional mechanically stabilized earth (MSE) retaining wall with foamed lightweight soil (FLS) as the fill material. To evaluate the performance of the structure, a numerical approach based on the finite difference method was employed. Firstly, numerical models were developed based on a centrifuge test model designed by previous researchers, and the results were compared with the measured data. The close agreement between the experimental values and simulations demonstrates the reliability and validity of the proposed numerical models. Subsequently, a series of parametric studies were conducted to reveal the effect of key parameters on the performance of the newly proposed retaining wall. Furthermore, this paper proposes a modified harmonic search algorithm (MHSA), which is based on the original harmonic search algorithm (OHSA), to optimize the design of the proposed retaining wall structure. The results indicate that the proposed retaining wall structure can effectively reduce the differential settlement between the existing road and the newly constructed road at a relatively lower cost. The MHSA can serve as a practical design guidebook for engineers and potential users, enabling rapid and efficient design.

关键词： mechanically stabilized earth wall centrifuge model test foamed lightweight soil road widening project harmonic search algorithm

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Study on Marine Diesel Engine Fault Identification Based on Neural Network 19

Study on Marine Diesel Engine Fault Identification Based on ...

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19th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Zhang, Defu Hou, Tongyu Yang, Jiankun Xiao, Jianjiang Tianjin Univ Technol Xiqing St Tianjin Peoples R China Cnooc Energy Dev Equipment Technol Co LTD Mech & Elect Tech Serv Ctr Beijing Peoples R China Tianjin Nangang Shipping Co Ltd Tianjin Peoples R China

ISBN: (数字)9781665408530

ISBN: (纸本)9781665408530;9781665408523

In order to further improve the accuracy and real-time of Marine diesel engine fault identification, an intelligent identification method based on Shffled Frog Leaping algorithm and harmonic search algorithm and optimized RBF neural network was proposed to diagnose Marine diesel engine *** method optimizes the hidden node, center vector and width parameters of RBF neural network, and carries out simulation experiment on Marine diesel engine fault identification under MATLAB *** the experimental process, the RBF neural network was built, and the HS algorithm was used to optimize the hyperparameters of the RBF network, and the SFLA algorithm was used to optimize the harmony memory library to further improve the accuracy of fault *** results show that the RBF neural network trained by this method has good convergence effect and high diagnostic accuracy, which verifies the validity and rationality of the proposed method.

关键词： Marine diesel engine Failure to identify Radial basis function neural network harmonic search algorithm Shuffled Frog Leaping algorithm

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Fuzzy Logic Based Metaheuristic algorithm for Optimization of Type-1 Fuzzy Controller: Fault -Tolerant Control for Nonlinear System with Actuator Fault 7th

Fuzzy Logic Based Metaheuristic Algorithm for Optimization o...

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7th International Conference on Advances in Control and Optimization of Dynamical Systems (ACODS)

作者： Patel, Himanshukumar R. Shah, Vipul A. Dharmsinh Desai Univ Fac Technol Dept Instrumentat & Control Engn Nadiad 387001 Gujarat India

This research offers a fuzzy-based harmonic search (HS) metaheuristic technique for optimizing type-1 fuzzy controller for Fault-Tolerant Control (FTC) for nonlinear level control application subject to two uncertainties (i.e. actuator fault and external process disturbances), using type-1 and interval type-2 fuzzy-based HS algorithms. The effectiveness of a fuzzy logic-based adaptive HS algorithm in a nonlinear two-tank level control process with the primary actuator has dwindled (LOE). The work key contribution is the discovery of the best technique for constructing an optimal vector of values for the fuzzy controller's membership functions (MFs) optimization. This is made to improve dynamic response by bringing the process value of the two-tank level control process close to the target process value (set-point). It's worth noting that the type-1 fuzzy controller's optimized MFs use an interval type-2 fuzzy system for parameter adaptation of the HS algorithm, which can handle greater uncertainty than a type-1 fuzzy system. In this case, the limiting MFs of interval type-2 fuzzy sets are type-1 fuzzy sets, which define the footprint of uncertainty (FOU). Simulation results show that FHSO using an interval type-2 fuzzy system outperforms FHSO using a type-1 fuzzy system in the optimal design of a type-1 fuzzy controller. Copyright (C) 2022 The Authors.

关键词： harmonic search algorithm Fuzzy controller Type-2 fuzzy system Fuzzy sets

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