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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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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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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 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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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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Optimal FACTS Location to Enhance Voltage Stability Using Multi-objective Harmony search

Optimal FACTS Location to Enhance Voltage Stability Using Mu...

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3rd International Conference on Electric Power and Energy Conversion Systems (EPECS)

作者： Laifa, Abdelaziz Medoued, Ammar Univ 20 Aout 1955 Skikda Dept Genie Elect Skikda Algeria

ISBN: (纸本)9781479906871;9781479906888

In this paper, a new multi-objective planning framework, namely Non-dominated Sorting Improved Harmony search (NSIHS), is presented, which is able to evaluate the impact of FACTS placement for an enhancement of voltage stability. It is based on the Improved HS algorithm which has been extended to the multi-objective optimization problem by non-dominated sorting and ranking with crowding distance strategy. Simulations are performed on IEEE 14 test system with FACTS controllers modeled for steady state studies. The approach is compared with Multi-Objective Particle Swarm Optimization (MOPSO) method. From the simulation results, it is clear that the proposed method is able to give better distributed Pareto-optimal solution than MOPSO method. It can then be a robust tool towards multi-objective optimization in power system management and planning.

关键词： Voltage Stability SVC TCSC FACTS location harmonic search algorithm Multi-objective Optimization

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Clustering and optimal routing in wireless sensor networks using Harmony search algorithm 2

Clustering and optimal routing in wireless sensor networks u...

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2nd International Conference on Knowledge Based Engineering and Innovation (KBEI)

作者： Sohrabpoor, Hasan Soltani, Zahra Sharifi Masoud, Pourmoradi Islamic Azad Univ Comp Chalus Iran

ISBN: (纸本)9781467365062

One of the main challenges in sensor networks is the enery used by these sensors and the most important reason for the energy consumption by sensors is transferring data, which has a direct relationship with distance. Researchers have proposed different algorithms so as to reduce the sonsors' energy consumption. One of these ways is optimal route-finding and reduction of the length of typical knots to central knots. One way to reduce the energy consumption is to cluster and organize the sensors. To do so, in the beginning, some sensors are randomly considered as the head and then these heads will recruit members considering their distance to other sensors. The number of members in clusters will be almost similar in order to restore balance in the number if the members. harmonic algorithm will help us have a thorough search on the space of the issue so that we can overcome the fundamental challenges in clustering the networks of wireless sensors through the performance of harmonic algorithm and change in the role of the head of a cluster.

关键词： wireless sensors network sensors central knot harmonic search algorithm route-finding optimizing head cluster cluster

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Analysis on energy consumption in smart grid WSN using path operator calculus centrality based HSA-PSO algorithm

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SOFT COMPUTING 2020年第14期24卷 10771-10783页

作者： Hemalatha, R. Prakash, R. Sivapragash, C. Anna Univ Chennai 600025 Tamil Nadu India Muthayammal Engn Coll Dept Elect & Elect Engn Rasipuram 637408 Tamil Nadu India Swarnandhra Coll Engn & Technol Dept Elect & Elect Engn Narsapur 534280 Andhra Pradesh India

In this paper, the consumption of energy is efficiently balanced using the high searching capability of harmony search algorithm (HSA). However, centrality in finding the route is considered as an utmost challenge in finding the important node in WSN. Hence, the path operator calculus centrality (SPOCC) is used to optimize the centrality problems in routing. The SPOCC finds the main routing path using HSA, and high centrality node is estimated by particle swarm optimization (PSO) algorithm, thereby ensuring optimal routing with reduced energy consumption. The utilization of PSO improves the lifetime of nodes using its dynamic capability. The performance of the proposed hybrid algorithm is evaluated using the various result metrics in smart grid outdoor transmission environment. The results show that the proposed hybrid algorithm obtains better improvement in terms of reduced delay and high residual energy than the existing algorithms.

关键词： Path Operator Calculus Centrality harmonic search algorithm Particle Swarm Optimization

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Improved energy efficient WSN using ACO based HSA for optimal cluster head selection

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PEER-TO-PEER NETWORKING AND APPLICATIONS 2020年第4期13卷 1102-1108页

作者： Poonguzhali, P. K. Ananthamoorthy, N. P. Hindutshan Coll Engn & Technol Dept Elect & Commun Engn Coimabatore Tamil Nadu India Hindutshan Coll Engn & Technol Dept Elect & Elect & Engn Coimabatore Tamil Nadu India

In recent era, increased consumption of energy in the wireless sensor network (WSN) is considered as a critical issue. The main constraints associated with these networks is the lower transmission range, reduced battery power and reduced memory requirement. There are very few designs that concentrates on designing newer routing protocol that considers these parameters for optimal selection of routes to reduce the energy consumption. With such aim, the proposed method designs a new routing protocol with optimal parameter selection. In addition, the study considers faster transmission of packets without losing the data accuracy. The network is divided into clusters, where the cluster center (center of the circle) is assumed to have minimum density in its own cluster. A path based clustering using Ant Colony Optimization (ACO) is used for this purpose. Here, the minimum density cluster is selected using harmonic search algorithm (HSA). The ACO combined with HSA finds the optimal cluster head with minimum routing path with reduced energy consumption. The validation of the proposed method is carried out against ACO-Fuzzy, max-min ACO, mACO and ACO in terms of various performance metrics. The result shows that the proposed method achieves higher network throughput, maximum network lifetime and reduced consumption of energy than other methods.

关键词： Energy efficient WSN WSN routing Ant Colony optimization harmonic search algorithm

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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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