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Island-Based harmony search algorithm for Non-convex Economic Load Dispatch Problems

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2021年第4期16卷 1985-2015页

作者： Al-Betar, Mohammed Azmi Al Balqa Appl Univ Al Huson Univ Coll Dept Informat Technol POB 50 Al Huson Irbid Jordan Ajman Univ Coll Engn & Informat Technol Artificial Intelligence Res Ctr AIRC Ajman U Arab Emirates

The economic load dispatch (ELD) is a crucial problem in electrical power system domain. It is tackled by managing the outputs of predefined generation units in accordance with equality constraints related to the balance of power of units and inequality constraints related to the output of units. Due to its complexity, ELD is modeled as a non-linear, non-convex, and non smooth optimization problem. Therefore, several optimization algorithms have been tailored to tackle ELD. The main contribution of this paper is to utilize the island based harmony search algorithm (iHS) for ELD problem. iHS divides the ELD population to a set of sub-populations called islands. The original harmony search (HS) is used for each island as an isolated run. At specific migration frequency, some solutions counted by migration rate are asynchronously migrated from one island to another based on migration policy controlled by migration topology. To ensure the feasibility of obtained ELD solutions, the repair process is also proposed as another contribution. In order to evaluate the proposed method, five real-world ELD test cases including generators with 3 units, two versions of generators with 13 units, 40 units and finally 80 units. Initially, the effect of parameters (Number of island, migration frequency, and migration rate) on the convergence behaviour of iHS is studied for all test cases. For comparative evaluations, the results of each ELD test case is compared with those produced by other well-established methods. The proposed iHS is able to produce the best overall results for three out of five real-world ELD test cases. For further validations, other five complex ELD versions introduced for IEEE-CEC2011 including more constraints (Ramp Rate Limits and prohibited operating zones) are also used which are generators with 6 units, 13 units, 15 units, 40 units, and 140 units. The comparative results of ELD versions for IEEE-CEC2011 test cases show that the proposed iHS-based ELD method

关键词： harmony search algorithm Island model Economic load dispatch Power system Optimization IEEE-CEC2011

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HSGS: A hybrid of harmony search algorithm and golden section for data clustering

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EXPERT SYSTEMS WITH APPLICATIONS 2023年第1期224卷

作者： Talaei, Kazem Rahati, Amin Idoumghar, Lhassane Univ Sistan & Baluchestan Dept Comp Sci Zahedan Iran Univ Haute Alsace IRIMIS UHA Mulhouse France

This paper proposes an improved variant of the harmony search (HS) algorithm called HSGS for solving clustering problems. The HSGS generates two new harmonies at each iteration. The first is produced by the harmony improvisation procedure of the canonical HS and promotes exploration ability. The second is generated by one of two new phases added to HS to enhance the exploitation capability with different ratios. Each phase employs the mathematical properties of a famous pattern found in nature, called golden section, to search around a specific harmony. In addition, these phases utilize different information of data points that need to be clustered. In each cycle of the HSGS, a self-adaptive selection mechanism selects a phase to properly adjust the exploitation ratio during the search process. A harmony with a better objective value between the two new harmonies competes with the current worst harmony to update the harmony memory. The performance of HSGS for clustering several well-known benchmark data sets, gene expression data sets, and noisy versions of gene expression data sets is compared with two modified variants of HSGS, seven HS-based clustering algorithms, k-means++, and six evolutionary clustering algorithms. In general, the results indicate that HSGS is superior to all considered algorithms in all data sets.

关键词： harmony search algorithm Golden section Clustering Gene expression K -means plus plus

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Optimization of electrical resistivity survey utilizing modified harmony search algorithm to predict anomalous zone ahead of tunnel faces

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MEASUREMENT 2023年 223卷

作者： Yoon, Yuemyung Choi, Hangseok Kwon, Kibeom Hwang, Byeonghyun Kang, Minkyu Korea Univ Sch Civil Environm & Architectural Engn 145 Anam Ro Seoul 02841 South Korea

Predicting anomalies ahead of a tunnel face is essential to ensure construction safety and efficiency during tunneling. This study proposes an optimization system to estimate the characteristics of anomalies ahead of a tunnel face. The developed system can estimate the location, the thickness and the electrical resistivity of the anomaly using inverse analysis based on the modified harmony search algorithm with resistivity measurement. To verify the efficacy of the developed system, laboratory chamber tests were conducted by simulating ground formations with faults. The experimental results indicated that the developed system had substantial prediction performance with a short data analysis time. Notably, the location of an anomaly was relatively well predicted compared to the other properties, which is crucial information that can prevent potential risks. Therefore, the system could predict anomaly characteristics and enable the appropriate management of potential risks.

关键词： Optimization Anomalies Electrical resistivity Geological risks Laboratory chamber test harmony search algorithm

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A Hybrid Artificial Bee Colony and harmony search algorithm-Based Metahueristic Approach for Efficient Routing in WSNs

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WIRELESS PERSONAL COMMUNICATIONS 2021年第4期121卷 3263-3279页

作者： Jayalakshmi, P. Sridevi, S. Janakiraman, Sengathir SRM Inst Sci & Technol Dept Comp Sci & Engn Chennai Tamil Nadu India CVR Coll Engn Dept Informat Technol Hyderabad Telangana India

The replacement of sensor node battery in wireless sensor network (WSN) is considered to be the highly crucial task in hostile environments. The process of partitioning the region of sensing in WSNs into clusters is determined to be the ultimate solution for attaining maximized network lifetime and gaining high energy efficiency. However, proper selection of CHs plays an anchor role in enhancing the network lifetime, since they need to utilize addition energy to handle the task of data gathering and data aggregation from the sensor member nodes of clusters and finally disseminate them to the base *** this paper, a Hybrid Artificial Bee Colony (ABC) and harmony search algorithm-based Metaheuristic Approach (HABC-HSA-MA) is proposed for attaining efficient CH selection with the view to sustain stable energy utilization with enhanced network lifetime. This HABC-HSA-MA includes the global optimization potential of harmony search algorithm (HSA) and local exploitation potential of the classical ABC algorithm for achieving significant CH selection for stabilizing energy and extending network lifetime. It also incorporated the benefits of harmony adjusting factor for inducing the process of improving the dynamic search efficiency during the process of CH selection in order to prevent worst candidates from being selected as CHs. The simulation results of the proposed HABC-HSA-MA confirms an enhancement in mean network lifetime of 23.64% and balanced average energy consumption rate of 20.28% compared to the benchmarked hybrid meta-heuristic CH selection schemes.

关键词： harmony search algorithm Cluster head selection Artificial bee colony Lifetime expectancy Swarm intelligence Wireless sensor networks

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Hybrid Local General Regression Neural Network and harmony search algorithm for Electricity Price Forecasting

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IEEE ACCESS 2021年 9卷 2044-2054页

作者： Elattar, Ehab E. Elsayed, Salah K. Farrag, Tamer Ahmed Taif Univ Dept Elect Engn Coll Engn At Taif 21944 Saudi Arabia Menou Univ Dept Elect Engn Fac Engn Shibin Al Kawm 32511 Egypt AL Azhar Univ Dept Elect Engn Fac Engn Cairo 11651 Egypt MISR Higher Inst Engn & Technol Dept Commun & Comp Mansoura 35511 Egypt

Proposing a new precise price forecasting method is still a challenging task as electricity price signals generally exhibit various complex features. In this paper, a new approach for electricity price forecasting called hybrid local general regression neural network, and harmony search algorithm (LGRNN-HSA) is proposed. The proposed LGRNN-HSA is developed by combining the coordinate delay (CD) method, local forecasting paradigm, general regression neural network (GRNN) and harmony search algorithm (HSA). The CD is employed in the proposed method to reconstruct the time series dataset. Then the local forecasting paradigm is utilized with GRNN to predict the future price based on the nearest neighbours only so that the shortcomings in global forecasting methods can be overcome. To enhance the forecasting accuracy, the HSA is employed to optimize not only the parameters of local forecasting paradigm but also the smooth parameter which has a great effect on the accuracy of GRNN. In LGRNN-HSA, a different smooth parameter for every training point is utilized instead of utilizing a constant value in GRNN. To verify the forecasting accuracy of the LGRNN-HSA, a real-world price and demand dataset is employed. The simulation results prove that the LGRNN-HSA significantly improved forecasting accuracy compared to other methods.

关键词： Forecasting Time series analysis Training Feature extraction Predictive models Optimization Neural networks Electricity price forecasting local forecasting harmony search algorithm general regression neural network parameters optimization

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

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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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An optimized solution for the transportation scheduling of pilgrims in Hajj using harmony search algorithm

JOURNAL OF ENGINEERING RESEARCH

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JOURNAL OF ENGINEERING REsearch 2023年第2期11卷

作者： Khan, Esam Ali Shambour, Mohd Khaled Umm Al Qura Univ Custodian Two Holy Mosques Inst Hajj & Umrah Res Mecca Saudi Arabia

The Kingdom of Saudi Arabia pays special attention and care to pilgrims by harnessing human and physical capabilities to serve the pilgrims, facilitate their performance of their rituals and overcome the difficulties they may face during their stay in the Kingdom. Achieving the Kingdom's objective of facilitating the reception of an increasing number of Muslims from around the world to do the Hajj and Umrah rituals requires conducting scientific research that provides optimal solutions to achieve future goals and aspirations. Hence, this paper seeks to study the current situation of the process of transporting pilgrims from Arafat to Muzdalifah in groups (which is called Tafweej), and then develop this process using the harmony search algorithm (HSA). Several hard and soft constraints are developed to regulate the scheduling process. The results proved that the proposed solution was able to triple the number of pilgrims, satisfying all hard constraints and most soft ones. This finding means that accommodation places in Muzdalifah may be exploited at a rate of three times the present situation.

关键词： Pilgrims transportation Pilgrims grouping (Tafweej) harmony search algorithm

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Hybrid harmony search algorithm for social network contact tracing of COVID-19

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Soft computing 2023年第6期27卷 3343-3365页

作者： Ala'a Al-Shaikh Basel A Mahafzah Mohammad Alshraideh Learning and Teaching Technology Center Al-Balqa Applied University Al-Salt 19117 Jordan. Department of Computer Science King Abdulla II School of Information Technology The University of Jordan Amman 11942 Jordan.

The coronavirus disease 2019 (COVID-19) was first reported in December 2019 in Wuhan, China, and then moved to almost every country showing an unprecedented outbreak. The world health organization declared COVID-19 a pandemic. Since then, millions of people were infected, and millions have lost their lives all around the globe. By the end of 2020, effective vaccines that could prevent the fast spread of the disease started to loom on the horizon. Nevertheless, isolation, social distancing, face masks, and quarantine are the best-known measures, in the time being, to fight the pandemic. On the other hand, contact tracing is an effective procedure in tracking infections and saving others' lives. In this paper, we devise a new approach using a hybrid harmony search (HHS) algorithm that casts the problem of finding strongly connected components (SCCs) to contact tracing. This new approach is named as hybrid harmony search contact tracing (HHS-CT) algorithm. The hybridization is achieved by integrating the stochastic hill climbing into the operators' design of the harmony search algorithm. The HHS-CT algorithm is compared to other existing algorithms of finding SCCs in directed graphs, where it showed its superiority over these algorithms. The devised approach provides a 77.18% enhancement in terms of run time and an exceptional average error rate of 1.7% compared to the other existing algorithms of finding SCCs.

关键词： COVID-19 Contact tracing Coronavirus harmony search algorithm Hill climbing Metaheuristic approach Social networks

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harmony search algorithm for chemical kinetics optimization problems 6

Harmony search algorithm for chemical kinetics optimization ...

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6th International Conference on Information Technology and Nanotechnology (IEEE ITNT)

作者： Shvareva, Elena Enikeeva, Leniza Gizzatova, Elvira Ufa State Petr Technol Univ Ufa Russia Novosibirsk State Univ Novosibirsk Russia Bashkir State Univ Sterlitamak Russia

ISBN: (纸本)9781728170411

This paper analyses the literature on the application of harmony search algorithm and discusses the application of the harmony search algorithm to calculate the kinetic parameters of the reaction. A mathematical model is constructed for solving inverse kinetic problems for determining parameters taking into account the physical and chemical aspects of the process of the transformation of the pentane-hexane fraction catalytic isomerization, which allows predictive calculations.

关键词： mathematical modeling harmony search algorithm chemical kinetics catalytic isomerization

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Island neighboring heuristics harmony search algorithm for flow shop scheduling with blocking

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SWARM AND EVOLUTIONARY COMPUTATION 2022年 74卷

作者： Abu Doush, Iyad Al-Betar, Mohammed Azmi Awadallah, Mohammed A. Alyasseri, Zaid Abdi Alkareem Makhadmeh, Sharif Naser El-Abd, Mohammed Yarmouk Univ Comp Sci Dept Irbid Jordan Amer Univ Kuwait Coll Engn & Appl Sci Salmiya Kuwait Ajman Univ Coll Engn & Informat Technol Artificial Intelligence Res Ctr AIRC Ajman U Arab Emirates Al Balqa Appl Univ Al Huson Univ Coll Dept Informat Technol POB 50 Irbid Jordan Al Aqsa Univ Dept Comp Sci POB 4051 Gaza Palestine Ajman Univ Artificial Intelligence Res Ctr AIRC Ajman U Arab Emirates Univ Kufa Informat Technol Res & Dev Ctr ITRDC 54001 Najaf Iraq Univ Kufa Fac Engn ECE dept Najaf Iraq Univ Warith Al Anbiyaa Coll Engn Karbala Iraq

This paper proposes an island neighboring heuristics harmony search algorithm (INHS) to tackle the blocking flow-shop scheduling problem. The island model is used to diversify the population and thus enhance the algo-rithm performance. The proposed method distributes the individuals in the population into different islands or sub-population. Then the harmony search algorithm iterates to look for and to develop a new solution enhanced by using neighboring heuristics. A migration process is applied, after a predefined number of iterations, to per-form an exchange between some individuals in islands. The proposed algorithm is evaluated using 12 real-world datasets, each with 10 instances. A sensitivity analysis of the island model parameters is conducted to choose values that minimize the total flow time. The evaluation is conducted using two criteria, the number of evolutions and the Central Processing Unit (CPU) time using six comparative methods and sixteen comparative methods, respectively. For the first criterion, the proposed algorithm excels other comparative algorithms when solving instances of four datasets. For the second criterion, the proposed algorithm outperforms other comparative meth-ods in six out of the twelve datasets. In conclusion, The obtained results prove the efficiency and competitiveness of the proposed algorithm when tackling the blocking flow-shop scheduling problem.

关键词： Flow shop problem harmony search algorithm Optimization Scheduling Heuristics Island model Structured population

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