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Simulation and optimization of Lar Dam reservoir storage under climate change conditions

JOURNAL OF WATER AND CLIMATE CHANGE 2023年第12期14卷 4336-4355页

作者： Sadeghijou, Hediyeh Sarraf, Amirpouya Ahmadi, Hassan Islamic Azad Univ Civil Engn Dept Roudehen Branch Roudehen Iran

In this research, the impact of climate change in the next 15 years (2036-2022) in the (LarDam) area has been investigated. The results showed that in the case of climate change under scenarios RCP2.6, RCP4.5, RCP8.5, the maximum temperature and the minimum temperature have increased by5, 5.23, 6.2% and 3.5, 5.6, 5.17%, respectively, and the amount of precipitation increased by 8.55, 9.5, 13%, respectively. Also, the highest rainfall will be in 2031 and the lowest will be in 2036. Then, based on the intermediate state of the scenarios, i.e. RCP4.5 scenario, the amount of runoff was obtained and the reliability index was calculated according to the upstream runoff of Lar Dam and downstream needs for drinking, agriculture, and environment. The simulation was also performed in the WEAP model. The obtained reliability showed that the highest reliability was 86.60% of the agriculture needs in the WEAP model, and by using the optimization of a honey badger and harmonic search algorithms, it was found that the reliability is approximately 5.06 and 1.73% higher than the reliability of the simulation, respectively. Moreover, in comparison with the optimization algorithms, due to the smaller value of the objective function of the honey badger algorithm and the greater reliability of this algorithm in optimizing downstream needs, it can be concluded that the performance of this algorithm was better than the harmonic search algorithm. The honey badger algorithm has a faster calculation speed than the harmony search algorithm with less execution time.

关键词： climate change climate scenarios harmony search algorithm Honey Badger algorithm WEAP model

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Fake news detection using an ensemble learning model based on Self-Adaptive harmony search algorithms

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EXPERT SYSTEMS WITH APPLICATIONS 2020年 159卷

作者： Huang, Yin-Fu Chen, Po-Hong Natl Yunlin Univ Sci & Technol Dept Comp Sci & Informat Engn Touliu Yunlin Taiwan

In general, the features of fake news are almost the same as those of real news, so it is not easy to identify them. In this paper, we propose a fake news detection system using a deep learning model. First, news articles are preprocessed and analyzed based on different training models. Then, an ensemble learning model combining four different models called embedding LSTM, depth LSTM, LIWC CNN, and N-gram CNN is proposed for fake news detection. Besides, to achieve higher accuracy in fake news detection, the optimized weights of the ensemble learning model are determined using the Self-Adaptive harmony search (SAHS) algorithm. In the experiments, we verify that the proposed model is superior to the state-of-the-art methods, with the highest accuracy of 99.4%. Furthermore, we also investigate the cross-domain intractability issue and achieve the highest accuracy of 72.3%. Finally, we believe there is still room for improving the ensemble learning model in addressing the cross-domain intractability issue. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Deep learning Fake news Natural language processing harmony search algorithm

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Ground Motion Records Selection Based on Scalar Frequency-Content Parameters

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IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING 2023年第2期47卷 1041-1057页

作者： Yaghmaei-Sabegh, Saman Jodat-Saeidabad, Amir Univ Tabriz Dept Civil Engn Tabriz Iran

Proper selection of ground motion records plays an important role in time history analysis of structural systems. Consistency of average response spectrum of a record set with the target spectrum is the only criterion, that normally is considered in code-based frameworks. However, a spectrum curve cannot represent all the characteristics of a seismic event. To improve the code-based ground motion selection method, the compatibility of three scalar frequency content intensity measures (Np, T-0, and T-avg) is integrated in the proposed selection method of this paper. The harmony search (HS) optimization algorithm is utilized to find the best ground motion set from a database and their corresponding scale factors. In order to investigate the accuracy and efficiency of the proposed method on seismic demand estimation of structures, four steel moment resisting frames are used in the analysis (4, 6, 9 and 12-story). It is concluded that combinations of T-0 and T-avg with the code-based method are effective for low-rise and mid-rise buildings, respectively, since these methods give reliable responses with less error dissipation.

关键词： Ground motion selection Frequency content Scalar intensity measure Optimization harmony search algorithm

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A novel hybrid algorithm combining hunting search with harmony search algorithm for training neural networks

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JOURNAL OF THE OPERATIONAL REsearch SOCIETY 2013年第5期64卷 748-761页

作者： Kulluk, S. Erciyes Univ TR-38039 Kayseri Turkey

Neural networks (NNs) are one of the most widely used techniques for pattern classification. Owing to the most common back-propagation training algorithm of NN being extremely computationally intensive and it having some drawbacks, such as converging into local minima, many meta-heuristic algorithms have been applied to training of NNs. This paper presents a novel hybrid algorithm which is the integration of harmony search (HS) and Hunting search (HuS) algorithms, called h_HS-HuS, in order to train Feed-Forward Neural Networks (FFNNs) for pattern classification. HS and HuS algorithms are recently proposed meta-heuristic algorithms inspired from the improvisation process of musicians and hunting of animals, respectively. harmony search builds up the main structure of the hybrid algorithm, and HuS forms the pitch adjustment phase of the HS algorithm. The performance proposed algorithm is compared to conventional and meta-heuristic algorithms. Empirical tests are carried out by training NNs on nine widely used classification benchmark problems. The experimental results show that the proposed hybrid harmony-hunting algorithm is highly capable of training NNs. Journal of the Operational Research Society (2013) 64, 748-761. doi:10.1057/jors.2012.79 Published online 22 August 2012

关键词： neural networks supervised training heuristics harmony search algorithm hunting search algorithm

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PWR loading pattern optimization using harmony search algorithm

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ANNALS OF NUCLEAR ENERGY 2013年 53卷 288-298页

作者： Poursalehi, N. Zolfaghari, A. Minuchehr, A. Shahid Beheshti Univ Dept Engn GC Tehran Iran

In this paper a core reloading technique using harmony search, HS, is presented in the context of finding an optimal configuration of fuel assemblies, FA, in pressurized water reactors. To implement and evaluate the proposed technique a harmony search along Nodal Expansion Code for 2-D geometry, HSNEC2D, is developed to obtain nearly optimal arrangement of fuel assemblies in PWR cores. This code consists of two sections including harmony search algorithm and Nodal Expansion modules using fourth degree flux expansion which solves two dimensional-multi group diffusion equations with one node per fuel assembly. Two optimization test problems are investigated to demonstrate the HS algorithm capability in converging to near optimal loading pattern in the fuel management field and other subjects. Results, convergence rate and reliability of the method are quite promising and show the HS algorithm performs very well and is comparable to other competitive algorithms such as Genetic algorithm and Particle Swarm Intelligence. Furthermore, implementation of nodal expansion technique along HS causes considerable reduction of computational time to process and analysis optimization in the core fuel management problems. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm Nodal expansion method Fitness function Loading pattern optimization

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A multi-objective grouping harmony search algorithm for the optimal distribution of 24-hour medical emergency units

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EXPERT SYSTEMS WITH APPLICATIONS 2013年第6期40卷 2343-2349页

作者： Landa-Torres, I. Manjarres, D. Salcedo-Sanz, S. Del Ser, J. Gil-Lopez, S. TECNALIA RES & INNOVAT OPTIMA Area Zamudio 48170 Bizkaia Spain Univ Alcala de Henares Dept Signal Theory & Commun Madrid 28871 Spain

This paper presents a novel multi-objective heuristic approach for the efficient distribution of 24-h emergency units. This paradigm is essentially a facility location problem that involves determining the optimum locations, within the existing health care centers, where to deploy 24-h emergency resources, as well as an efficient assignment of patients to such newly placed resources through the existing medical care infrastructure. The formulation of the underlying NP-complete problem is based on a bi-objective distance and cost metric, which is tackled in our approach by combining a harmony search algorithm with a grouping encoding and a non-dominated solution sorting strategy. Additionally, the nominal grouping encoding procedure has been redefined in order to reduce the dimension of the search space, thus allowing for a higher efficiency of the searching process. Extensive simulations in a real scenario - based on the geographic location of medical centers over the provinces of Guadalajara and Cuenca (Spain) - show that the proposed algorithm is statistically robust and provides a wide range of feasible solutions, hence offering multiple alternatives for the distribution of emergency units. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm Multi-objective optimization Grouping-based encoding Health-care facility location problem

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An almost-parameter-free harmony search algorithm for groundwater pollution source identification

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WATER SCIENCE AND TECHNOLOGY 2013年第11期68卷 2359-2366页

作者： Jiang, Simin Zhang, Yali Wang, Pei Zheng, Maohui Tongji Univ Dept Hydraul Engn Shanghai 200092 Peoples R China Changzhou Acad Environm Sci Changzhou 213022 Peoples R China Tongji Univ Inst Disaster Prevent & Relief Shanghai 200092 Peoples R China

The spatiotemporal characterization of unknown sources of groundwater pollution is frequently encountered in environmental problems. This study adopts a simulation-optimization approach that combines a contaminant transport simulation model with a heuristic harmony search algorithm to identify unknown pollution sources. In the proposed methodology, an almost-parameter-free harmony search algorithm is developed. The performance of this methodology is evaluated on an illustrative groundwater pollution source identification problem, and the identified results indicate that the proposed almost-parameter-free harmony search algorithm-based optimization model can give satisfactory estimations, even when the irregular geometry, erroneous monitoring data, and prior information shortage of potential locations are considered.

关键词： groundwater harmony search algorithm pollution source identification simulation-optimization approach

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Non-convex economic dispatch with heuristic load patterns, valve point loading effect, prohibited operating zones, ramp-rate limits and spinning reserve constraints using harmony search algorithm

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ELECTRICAL ENGINEERING 2013年第1期95卷 53-61页

作者： Arul, R. Ravi, G. Velusami, S. Annamalai Univ Dept Elect Engn Annamalainagar 608002 Tamil Nadu India Pondicherry Engn Coll Dept EEE Pondicherry India

This paper attempts to investigate the applicability of harmony search algorithm (HSA) to solve extremely challenging non-convex economic load dispatch problem with valve point loading effect, prohibited operating zones, ramp-rate limits, spinning reserve constrains and transmission losses involving variations of consumer load patterns. The performance of the proposed approach HSA has been tested successfully on the standard 6-bus, IEEE-14 bus and IEEE-30 bus system with several heuristic load patterns. The results of this study reveals that the proposed approach is able to find appreciable economical load dispatch solutions than those of improved fast evolutionary program and particle swarm optimization. Besides this, the transmission line losses are also considerably reduced and the computation time is reasonably even and less when compared to other methods.

关键词： Economic load dispatch Load patterns Transmission losses harmony search algorithm Particle swarm optimization Improved fast evolutionary programming Valve point loading effect Prohibited operating zones Ramp-rate limits Spinning reserve constraints

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A hybrid quantum inspired harmony search algorithm for 0-1 optimization problems

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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 2013年 253卷 14-25页

作者： Layeb, Abdesslem Univ Constantine Dept Comp Sci MISC Lab Constantine Algeria

This paper presents a new hybrid natural algorithm based on harmony search algorithm (HSA) and Quantum Computing (QC). The main features of the proposed algorithm called Quantum Inspired harmony search algorithm (QIHSA) is the integration of quantum representation scheme in the basic harmony search algorithm that allows applying successfully some quantum inspired operators like measurement and interference. This hybridization between quantum inspired computing and harmony search algorithm has led to an efficient hybrid framework which achieves better balance between the exploration of HS algorithm and the exploitation capabilities of the quantum inspired computing. Experiments on knapsack problems show the effectiveness of the proposed framework and its ability to achieve good quality solutions. (C) 2013 Elsevier B.V. All rights reserved.

关键词： harmony search algorithm Quantum computing Hybrid algorithms Knapsack problems

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A new multiobjective optimal allocation of multitype FACTS devices for total transfer capability enhancement and improving line congestion using the harmony search algorithm

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2013年第4期21卷 957-979页

作者： Esmaeili, Abbas Esmaeili, Saeld Shahid Bahonar Univ Kerman Dept Elect Engn Kerman Iran

In this paper, a new approach based on novel heuristic algorithms is used to locate and model multitype flexible alternating current transmission system (FACTS) devices (series and parallel) in order to improve the total transfer capability and decrease the line congestion and total power loss. The multitype FACTS devices, including the static synchronous series compensator, static compensator, and unified power flow controller, have been optimally sized and located simultaneously through the harmony search algorithm (HSA). To achieve this purpose, a program in MATLAB code has been developed in order to extend the conventional Newton-Raphson algorithm for multitype facts applications. Since the optimization is multipurpose, an analytical hierarchy process is used to obtain the priority vector for each alternative. The HSA, with a good convergence property and more accurate results, can satisfy the objective function better. The effectiveness of the proposed method is demonstrated using a modified 30-bus IEEE test system as well as Iranian 230 kV southeast regional grids in normal and contingency conditions. On the other hand, the optimization performance is compared with a genetic algorithm and particle swarm optimization. The simulation results illustrate that the proposed algorithm performs better than the other algorithms. Moreover, it is shown that simultaneous optimizations of multitype FACTS devices have more advantages than the separate optimization of single-type ones.

关键词： FACTS devices harmony search algorithm total transfer capability lines congestion analytical hierarchy process power losses

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