检索结果-内蒙古大学图书馆

A gasoline consumption model based on the harmony search algorithm: Study case of Indonesia

INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS 2012年第3期6卷 233-241页

作者： Anggarani, Riesta Watada, Junzo Oil & Gas Technol LEMIGAS R&D Ctr Fuel Res Grp Jakarta Indonesia Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu Fukuoka Japan

Indonesia has a discrepancy between the realized amount and the planned amount of gasoline consumption. This discrepancy has burdened the national budget in Indonesia because this unplanned increase in the imported amount of gasoline has made the government pay more to the importers. The objectives of this research are to develop a robust and accurate model to forecast future gasoline consumption and to provide an attractive alternative model for gasoline consumption forecasting by applying a metaheuristic approach. We apply the harmony search (HS) algorithm for developing a model of gasoline consumption in Indonesia using general socioeconomic variables that can be easily retrieved from public data. The variables used are the gross domestic product (GDP), population, and the total numbers of passenger cars and motorcycles. The HS algolithm selects the optimal weight factors within the proposed exponential model. The results show that the proposed exponential HS algorithm-based model outperforms the conventional nonlinear regression method and particle swarm optimization (PSO)-based model in terms of the mean absolute percentage error (MAPE).

关键词： Gasoline consumption Indonesia harmony search algorithm

来源：评论

学校读者我要写书评

暂无评论

MTHSA-DHEI: multitasking harmony search algorithm for detecting high-order SNP epistatic interactions

引用

COMPLEX & INTELLIGENT SYSTEMS 2023年第1期9卷 637-658页

作者： Tuo, Shouheng Li, Chao Liu, Fan Li, Aimin He, Lang Geem, Zong Woo Shang, JunLiang Liu, Haiyan Zhu, YanLing Feng, ZengYu Chen, TianRui Xian Univ Posts & Telecommun Sch Comp Sci & Technol Xian 710121 Shaanxi Peoples R China Shaanxi Key Lab Network Data Anal & Intelligent P Xian 710121 Shaanxi Peoples R China Xian Key Lab Big Data & Intelligent Comp Xian 710121 Shaanxi Peoples R China Xian Univ Technol Sch Comp Sci & Engn Xian 710048 Shaanxi Peoples R China Gachon Univ Dept Energy IT Seongnam 13120 South Korea Qufu Normal Univ Sch Comp Sci Rizhao 276826 Peoples R China

Genome-wide association studies have succeeded in identifying genetic variants associated with complex diseases, but the findings have not been well interpreted biologically. Although it is widely accepted that epistatic interactions of high-order single nucleotide polymorphisms (SNPs) [(1) Single nucleotide polymorphisms (SNP) are mainly deoxyribonucleic acid (DNA) sequence polymorphisms caused by variants at a single nucleotide at the genome level. They are the most common type of heritable variation in humans.] are important causes of complex diseases, the combinatorial explosion of millions of SNPs and multiple tests impose a large computational burden. Moreover, it is extremely challenging to correctly distinguish high-order SNP epistatic interactions from other high-order SNP combinations due to small sample sizes. In this study, a multitasking harmony search algorithm (MTHSA-DHEI) is proposed for detecting high-order epistatic interactions [(2) In classical genetics, if genes X1 and X2 are mutated and each mutation by itself produces a unique disease status (phenotype) but the mutations together cause the same disease status as the gene X1 mutation, gene X1 is epistatic and gene X2 is hypostatic, and gene X1 has an epistatic effect (main effect) on disease status. In this work, a high-order epistatic interaction occurs when two or more SNP loci have a joint influence on disease status.], with the goal of simultaneously detecting multiple types of high-order (k(1)-order, k(2)-order, horizontal ellipsis , k(n)-order) SNP epistatic interactions. Unified coding is adopted for multiple tasks, and four complementary association evaluation functions are employed to improve the capability of discriminating the high-order SNP epistatic interactions. We compare the proposed MTHSA-DHEI method with four excellent methods for detecting high-order SNP interactions for 8 high-orderepistatic interaction models with no marginal effect (EINMEs) and 12 epistatic interaction mod

关键词： Multitasking harmony search algorithm Single nucleotide polymorphisms Epistatic interaction

来源：评论

学校读者我要写书评

暂无评论

Hyperparameter Optimization Method Based on harmony search algorithm to Improve Performance of 1D CNN Human Respiration Pattern Recognition System

引用

SENSORS 2020年第13期20卷 3697.-3697.页

作者： Kim, Seong-Hoon Geem, Zong Woo Han, Gi-Tae Gachon Univ Dept Comp Engn Seongnam 13120 South Korea Gachon Univ Dept Energy IT Seoongnam 13120 South Korea

In this study, we propose a method to find an optimal combination of hyperparameters to improve the accuracy of respiration pattern recognition in a 1D (Dimensional) convolutional neural network (CNN). The proposed method is designed to integrate with a 1D CNN using the harmony search algorithm. In an experiment, we used the depth of the convolutional layer of the 1D CNN, the number and size of kernels in each layer, and the number of neurons in the dense layer as hyperparameters for optimization. The experimental results demonstrate that the proposed method provided a recognition rate for five respiration patterns of approximately 96.7% on average, which is an approximately 2.8% improvement over an existing method. In addition, the number of iterations required to derive the optimal combination of hyperparameters was 2,000,000 in the previous study. In contrast, the proposed method required only 3652 iterations.

关键词： 1D convolutional neural network ultra-wideband radar respiration patterns harmony search algorithm hyperparameter optimization

来源：评论

学校读者我要写书评

暂无评论

Simultaneous Reconfiguration and Capacitor Placement with Harmonic Consideration Using Fuzzy harmony search algorithm

引用

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2014年第5期39卷 3859-3871页

作者： Esmaeili, S. Dehnavi, H. D. Karimzadeh, F. Shahid Bahonar Univ Kerman Dept Elect Engn Kerman Iran Grad Univ Adv Technol Mahan Kerman Iran

In this paper, network reconfiguration and capacitor placement are modeled in the form of a multi-objective problem. Minimizing the costs of real power losses and shunt capacitor installation, and improving the harmonic condition of network are taken into account as the optimization goals. A fuzzy system is utilized to solve multi-objective problem, and a fuzzy harmony search algorithm is proposed to reach the optimum solution point. The proposed model is implemented on two typical networks: the IEEE 33-bus standard system and an 83-bus distribution system from Taiwan Power Company. The results demonstrate that simultaneous study of shunt capacitor placement and network reconfiguration leads to better results compared to study each one separately. Furthermore, considering harmonic condition of network as a term of multi-objective function provides a suitable criterion for network designer to improve the power quality of network during the reconfiguration and capacitor placement processes.

关键词： Capacitor placement Distribution network Fuzzy theory harmony search algorithm Multi-objective problem Reconfiguration

来源：评论

学校读者我要写书评

暂无评论

Annealing harmony search algorithm to Solve the Nurse Rostering Problem

引用

Computers, Materials & Continua 2022年第6期71卷 5545-5559页

作者： Mohammed Hadwan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaizYemen Intelligent Analytics Group(IAG) College of ComputerQassim UniversityBuraydahSaudi Arabia

A real-life problem is the rostering of nurses at *** is a famous nondeterministic,polynomial time(NP)-hard combinatorial optimization *** the real-world nurse rostering problem(NRP)constraints in distributing workload equally between available nurses is still a difficult task to *** international shortage of nurses,in addition to the spread of COVID-19,has made it more difficult to provide convenient rosters for *** on the literature,heuristic-based methods are the most commonly used methods to solve the NRP due to its computational complexity,especially for large ***-based algorithms in general have problems striking the balance between diversification and ***,this paper aims to introduce a novel metaheuristic hybridization that combines the enhanced harmony search algorithm(EHSA)with the simulated annealing(SA)algorithm called the annealing harmony search algorithm(AHSA).The AHSA is used to solve NRP from a Malaysian *** AHSA performance is compared to the EHSA,climbing harmony search algorithm(CHSA),deluge harmony search algorithm(DHSA),and harmony annealing search algorithm(HAS).The results show that the AHSA performs better than the other compared algorithms for all the tested instances where the best ever results reported for the UKMMC dataset.

关键词： harmony search algorithm simulated annealing combinatorial optimization problems timetabling metaheuristic algorithms nurse rostering problems

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

An improved harmony search algorithm for solving optimization problems

引用

APPLIED MATHEMATICS AND COMPUTATION 2007年第2期188卷 1567-1579页

作者： Mahdavi, M. Fesanghary, M. Damangir, E. Amirkabir Univ Technol Dept Mech Engn Tehran 158754413 Iran Sharif Univ Technol Dept Comp Engn Tehran Iran

This paper develops an improved harmony search (IHS) algorithm for solving optimization problems. IHS employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of harmony search (HS) algorithm. In this paper the impacts of constant parameters on harmony search algorithm are discussed and a strategy for tuning these parameters is presented. The IHS algorithm has been successfully applied to various benchmarking and standard engineering optimization problems. Numerical results reveal that the proposed algorithm can find better solutions when compared to HS and other heuristic or deterministic methods and is a powerful search algorithm for various engineering optimization problems. (c) 2006 Elsevier Inc. All rights reserved.

关键词： global optimization heuristics harmony search algorithm mathematical programming

来源：评论

学校读者我要写书评

暂无评论

Hybrid probabilistic- harmony search algorithm methodology in generation scheduling problem

引用

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE 2014年第2期26卷 283-296页

作者： Estahbanati, M. J. Islamic Azad Univ Sci & Res Branch Dept Elect Engn Fars Iran

This paper attempts to propose a fair solution in generation scheduling problem in the presence of inherent uncertainties in short-term power system operation. The proposed methodology incorporates probabilistic methodology in the uncertainties representation section, while harmony search algorithm is adopted as a fast and reliable soft computing algorithm to solve the proposed nonlinear, non-convex, large-scaled and combinatorial problem. As an indispensable step towards a more economical power system operation, the optimal generation scheduling strategy in the presence of mixed hydro-thermal generation mix, deemed to be the most techno-economically efficient scheme, comes to the play and is profoundly taken under concentration in this study. This paper devises a comprehensive hybrid optimisation approach by which all the crucial aspects of great influence in the generation scheduling process can be accounted for. Two-point estimation method is also adopted probabilistically approaching the involved uncertain criteria. In the light of the proposed methodology being implemented on an adopted test system, the anticipated efficiency of the proposed method is well verified.

关键词： generation scheduling probabilistic methodology harmony search algorithm point estimation method

来源：评论

学校读者我要写书评

暂无评论

Application of harmony search algorithm to the solution of groundwater management models

引用

ADVANCES IN WATER RESOURCES 2009年第6期32卷 916-924页

作者： Ayvaz, M. Tamer Pamukkale Univ Dept Civil Engn TR-20070 Denizli Turkey

This study proposes a groundwater resources management model in which the solution is performed through a combined simulation-optimization model. A modular three-dimensional finite difference groundwater flow model, MODFLOW is used as the simulation model. This model is then combined with a harmony search (HS) optimization algorithm which is based on the musical process of searching for a perfect state of harmony. The performance of the proposed HS based management model is tested on three separate groundwater management problems: (i) maximization of total pumping from an aquifer (steady-state);(ii) minimization of the total pumping cost to satisfy the given demand (steady-state);and (iii) minimization of the pumping cost to satisfy the given demand for multiple management periods (transient). The sensitivity of HS algorithm is evaluated by performing a sensitivity analysis which aims to determine the impact of related solution parameters on convergence behavior. The results show that HS yields nearly same or better solutions than the previous solution methods and may be used to solve management problems in groundwater modeling. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Groundwater management Simulation-optimization harmony search algorithm MODFLOW

来源：评论

学校读者我要写书评

暂无评论

Shape optimization of structures for frequency constraints by sequential harmony search algorithm

引用

ENGINEERING OPTIMIZATION 2013年第6期45卷 627-646页

作者： Gholizadeh, S. Barzegar, A. Urmia Univ Dept Civil Engn Orumiyeh Iran

Shape optimization of structures with frequency constraints is a highly nonlinear dynamic optimization problem. In order to deal with this type of optimization problem, efficient optimization algorithms should be employed. The main objective of the present study is to propose an efficient harmony search (HS)-based algorithm for solving the shape optimization problem of pin-jointed structures subject to multiple natural frequency constraints. In the proposed algorithm an enhanced version of HS is employed in the framework of the sequential unconstrained minimization technique. The efficiency of the presented sequential harmony search (SHS) algorithm is illustrated through several benchmark optimization examples and the results are compared to those of different optimization techniques. The numerical results demonstrate the computational advantages of the SHS in shape optimization of structures for frequency constraints.

关键词： shape optimization harmony search algorithm frequency constraint sequential unconstrained minimization technique

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：