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Hybrid of the fuzzy logic controller with the harmony search algorithm to PWR in-core fuel management optimization

NUCLEAR ENGINEERING AND TECHNOLOGY 2021年第11期53卷 3665-3674页

作者： Mahmoudi, Sayyed Mostafa Rad, Milad Mansouri Ochbelagh, Dariush Rezaei Amirkabir Univ Technol Tehran Polytech Dept Energy Engn & Phys Tehran Iran

One of the important parts of the in-core fuel management is loading pattern optimization (LPO). The loading pattern optimization as a reasonable design of the in-core fuel management can improve both economic and safe aspects of the nuclear reactor. This work proposes the hybrid of fuzzy logic controller with harmony search algorithm (HS) for loading pattern optimization in a pressurized water reactor. The music improvisation process to find a pleasing harmony is inspiring the harmony search algorithm. In this work, the adjustment of the harmony search algorithm parameters such as the bandwidth and the pitch adjustment rate are increasing performance of the proposed algorithm which is done through a fuzzy logic controller. Hence, membership functions and fuzzy rules are designed to improve the performance of the HS algorithm and achieve optimal results. The objective of the method is finding an optimum core arrangement according to safety and economic aspects such as reduction of power peaking factor (PPF) and increase of effective multiplication factor (Keff). The proposed approach effectiveness has been tried in two cases, Michalewicz's bivariate function problem and NEACRP LWR core. The results show that by using fuzzy harmony search algorithm the value of the fitness function is improved by 15.35%. Finally, with regard to the new solutions proposed in this research it could be used as a trustworthy method for other optimization issues of engineering field. (c) 2021 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： harmony search algorithm Fuzzy logic controller Loading pattern optimization NEACRP LWR core

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Cost Optimization of Reinforced Concrete One-Way Ribbed Slabs Using harmony search algorithm

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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2011年第7期36卷 1179-1187页

作者： Kaveh, A. Abadi, A. Shakouri Mahmud Iran Univ Sci & Technol Ctr Excellence Fundamental Studies Struct Engn Tehran 16 Iran Bldg & Housing Res Ctr Tehran 14 Iran

Cost optimization of a reinforced concrete one-way joist floor system consisting of a hollow slab is presented in this paper. The cost of the system is considered to be the objective function, and the design is based on the American Concrete Institute's ACI 318-05 standard. This function is minimized, subject to design constraints, using the harmony search algorithm. A numerical example is presented to illustrate the performance of the algorithm and a sensitivity analysis is performed. A parametric study is also conducted to investigate the effects of the beam span and the loading on the cost optimization of the ribbed slab.

关键词： Reinforced concrete slab One-way joist floor harmony search algorithm Cost optimization

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Automatic Data Clustering Using Parameter Adaptive harmony search algorithm and Its Application to Image Segmentation

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JOURNAL OF INTELLIGENT SYSTEMS 2016年第4期25卷 595-610页

作者： Kumar, Vijay Chhabra, Jitender Kumar Kumar, Dinesh Thapar Univ Patiala Punjab India Natl Inst Technol Kurukshetra Haryana India Guru Jambheshwer Univ Sci & Technol Hisar Haryana India

In this paper, the problem of automatic data clustering is treated as the searching of optimal number of clusters so that the obtained partitions should be optimized. The automatic data clustering technique utilizes a recently developed parameter adaptive harmony search (PAHS) as an underlying optimization strategy. It uses real-coded variable length harmony vector, which is able to detect the number of clusters automatically. The newly developed concepts regarding "threshold setting" and "cutoff" are used to refine the optimization strategy. The assignment of data points to different cluster centers is done based on the newly developed weighted Euclidean distance instead of Euclidean distance. The developed approach is able to detect any type of cluster irrespective of their geometric shape. It is compared with four well-established clustering techniques. It is further applied for automatic segmentation of grayscale and color images, and its performance is compared with other existing techniques. For real-life datasets, statistical analysis is done. The technique shows its effectiveness and the usefulness.

关键词： harmony search algorithm clustering variance meta-heuristics

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Optimization of plate-fin heat exchangers by an improved harmony search algorithm

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APPLIED THERMAL ENGINEERING 2013年第1期50卷 877-885页

作者： Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin Abdullah, Abdul Hanan Univ Teknol Malaysia Fac Mech Engn Dept Thermofluids Skudai 81310 Johor Malaysia Univ Teknol Malaysia Fac Comp Sci Skudai 81310 Johor Malaysia

This study explores the use of a proposed variant of harmony search algorithm for design optimization of plate-fin heat exchangers. The algorithm deals with a large number of continuous and discrete variables. To handle the constraints in the optimization problem, a self-adaptive penalty function scheme is used. The efficiency and accuracy of the proposed method are demonstrated through an illustrative example taken from previous studies. Numerical results indicate that the presented approach can generate optimum solutions with higher accuracy when compared to Genetic algorithms (GAS), Particle Swarm Optimization (PSO) and GA hybrids with PSO (GAHPSO). (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Plate-fin heat exchanger Evolutionary computation harmony search algorithm Constraint handling

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harmony search algorithm and related variants: A systematic review

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SWARM AND EVOLUTIONARY COMPUTATION 2022年 74卷

作者： Qin, Feng Zain, Azlan Mohd Zhou, Kai-Qing Univ Teknol Malaysia Sch Comp Skudai Malaysia Univ Teknol Malaysia UTM Big Data Ctr Skudai Malaysia Jishou Univ Coll Informat Sci & Engn Jishou Peoples R China

harmony search (HS) algorithm is a novel metaheuristic algorithm, inspired by the phenomenon that musicians repeatedly adjust the pitch of each instrument to finally achieve a beautiful harmony state. Due to its simple concept, few adjustable parameters, easy implementation, and the ability to balance exploitation and exploration during search, HS has been widely applied to deal with various optimization problems in real life. However, HS has shortcomings such as low optimization accuracy and premature convergence. Therefore, various HS variants have been proposed. In response to this trend, this article systematically reviews HS and its variants from various aspects. First, the basic HS principle is described. Secondly, how the improvement of HS affects the performance of the algorithm is discussed. Finally, the characteristics of HS variants and their applications are analyzed. It can be seen from the literature that the improvement of HS is mainly focused on parameter improvement and mixing with other metaheuristic algorithms. Some HS even use both techniques to improve the algorithm simultaneously. HS is mainly used to solve optimization problems in engineering, which provides future research directions for improving HS.

关键词： harmony search algorithm Metaheuristic algorithm Optimization

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Nurse Scheduling with Opposition-Based Parallel harmony search algorithm

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JOURNAL OF INTELLIGENT SYSTEMS 2019年第4期28卷 633-647页

作者： Yagmur, Ece Cetin Sarucan, Ahmet Selcuk Univ Fac Engn Dept Ind Engn TR-42050 Konya Turkey

One of the advances made in the management of human resources for the effective implementation of service delivery is the creation of personnel schedules. In this context, especially in terms of the majority of health-care systems, creating nurse schedules comes to the fore. Nurse scheduling problem (NSP) is a complex optimization problem that allows for the preparation of an appropriate schedule for nurses and, in doing so, considers the system constraints such as legal regulations, nurses' preferences, and hospital policies and requirements. There are many studies in the literature that use exact solution algorithms, heuristics, and meta-heuristics approaches. Especially in large-scale problems, for which deterministic methods may require too much time and cost to reach a solution, heuristics and meta-heuristic approaches come to the fore instead of exact methods. In the first phase of the study, harmony search algorithm (HSA), which has shown progress recently and can be adapted to many problems is applied for a dataset in the literature, and the algorithm's performance is evaluated by comparing the results with other heuristics which is applied to the same dataset. As a result of the evaluation, the performance of the classical HSA is inadequate when compared to other heuristics. In the second phase of our study, by considering new approaches proposed by the literature for HSA, the effects on the algorithm's performance of these approaches are investigated and we tried to improve the performance of the algorithm. With the results, it has been determined that the improved algorithm, which is called opposition-based parallel HSA, can be used effectively for NSPs.

关键词： harmony search algorithm nurse scheduling problem meta-heuristics parallel grouping opposition-based learning

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Hybrid harmony search algorithm and Fuzzy Mechanism for Solving Congestion Management Problem in an Electricity Market

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COMPLEXITY 2016年第S1期21卷 90-98页

作者： Jalili, Aref Ghadimi, Noradin Islamic Azad Univ Ardabil Branch Dept Engn Ardebil Iran Islamic Azad Univ Elect Branch Dept Engn Tehran Iran

A hybrid technique for solving the congestion management problem in an electricity market based on harmony search algorithm (HAS) and Fuzzy mechanism is presented in this article. This algorithm does not require initial value setting for the variables and does not require differential gradients, thus it can consider discontinuous functions as well as continuous functions. The HAS is a recently developed powerful evolutionary algorithm, inspired by the improvisation process of musicians, for solving single/multiobjective optimization problems. In the proposed technique, each musician plays a note for finding a best harmony all together. Transmission pricing and congestion management are the key elements of a competitive electricity market based on direct access. They also focus of much of the debate concerning alternative approaches to the market design and the implementation of a common carrier electricity system. This article focuses on the tradeoffs between simplicity and economic efficiency in meeting the objectives of a transmission pricing and congestion management scheme. The effectiveness of the proposed technique is applied on 30 and 118 bus IEEE standard power system in comparison with CPSO, PSO-TVAC, and PSO-TVIW. The numerical results demonstrate that the proposed technique is better and superior than other compared methods. (C) 2015 Wiley Periodicals, Inc.

关键词： fuzzy mechanism harmony search algorithm optimal congestion management operating limits

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Research on Marine Water Quality Evaluation Model Based on Improved harmony search algorithm by Gaussian Disturbance to Optimize Takagi-Sugeno Fuzzy Neural Network

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JOURNAL OF COASTAL REsearch 2020年第Spe111期000卷 283-287页

作者： Shen, Guifang Anhui Inst Publ Secur Educ Hefei 230031 Peoples R China

Marine water quality is affected by many factors and is difficult to evaluate accurately. An improved harmony search algorithm based on Gaussian disturbance (GDHS) is proposed to optimize the Takagi-Sugeno (T-S) fuzzy neural network (TSFNN) model of marine water quality evaluation. First, the basic harmony search algorithm is improved by the Gaussian disturbance global optimal harmony strategy and dynamic adjustment parameters. Second, the parameters of the T-S fuzzy neural network are optimized by GDHS to improve the stability and global convergence speed of the TSFNN. Finally, China's marine water quality standards and the actual conditions of the marine area to which the experimental data belong are considered, five indicators are selected to construct a neural network, and the water quality evaluation results of the data of 10 monitoring stations in the eastern waters of Qingdao show that the smaller the evaluation error of the GDHS-TSFNN model, the higher the accuracy.

关键词： Gaussian disturbance harmony search algorithm T-S fuzzy neural network marine water quality

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Content Based Retinal Image Retrieval Scheme using harmony search algorithm

Content Based Retinal Image Retrieval Scheme using Harmony S...

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2015 International Conference on Communications and Signal Processing (ICCSP)

作者： Sivakamasundari, J. Natarajan, V. Anna Univ Madras Inst Technol Instrumentat Engn Dept Madras 600044 Tamil Nadu India

ISBN: (纸本)9781479980819

Automated segmentation of vasculatures in retinal images is vital for the detection of Diabetic Retinopathy (DR). An attempt has been made to generate continuous vasculature information using evolutionary based harmony search algorithm (HSA) combined with conventional Multilevel Thresholding (MLT) methods. The preprocessed normal and abnormal retinal images are segmented using HSA based Otsu and Kapur MLT methods by the best objective functions. The segmentation is validated with corresponding ground truth images using binary similarity measures. The statistical, textural and structural features are obtained from the segmented images and are analyzed. Content Based Image Retrieval (CBIR) is used to assist physicians in clinical diagnoses and research fields. The CBIR systems are developed based on both the MLT segmentation techniques and the obtained features. Similarity matching is carried out between the features of query and database images using the Euclidean Distance measure. Similar images are ranked and retrieved. This work shows high retrieval performances such as precision (96%) and recall (58%) for the CBIR system using HSA based Otsu MLT segmentation method than the other method. Hence this CBIR system could be recommended in computer assisted diagnosis for a better screening of the diabetic retinopathy.

关键词： diabetic retinopathy retinal fundus image blood vessels harmony search algorithm content based image retrieval multilevel thresholding segmentation

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Parametric Appraisal of WEDM using harmony search algorithm

Parametric Appraisal of WEDM using Harmony Search Algorithm

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4th International Conference on Materials Processing and Characterzation (ICMPC)

作者： Nayak, Bijaya Bijeta Mahapatra, Siba Sankar Chatterjee, Suman Abhishek, Kumar Natl Instutute Technol Dept Mech Engn Rourkela 769008 Odisha India

The work presents a multi response optimization approach to determine the optimal process parameters in wire electrical discharge machining process during taper cutting operation. Experiments have been conducted using six process parameters such as part thickness, taper angle, pulse duration, discharge current, wire speed and wire tension each at three levels for obtaining the responses like angular error, surface roughness, and cutting speed. Taguchi's L-27 orthogonal array is used to gather information regarding the process with less number of experimental runs. Traditional Taguchi approach is insufficient to solve a multi response optimization problem. In order to overcome this limitation, techniques for order preferences by similarity to ideal solution (TOPSIS) method has been implemented, to convert multi-responses into single equivalent response called closeness coefficient index. The relationship between input parameters and closeness coefficient index is developed by regression analysis, resulting a valid mathematical model. Finally, the optimum parameter setting is obtained by a new metaheuristic algorithm, Harmonic search algorithm. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm Optimizaion Taguchi TOPSIS WEDM

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