检索结果-内蒙古大学图书馆

Application of improved support vector regression model for prediction of deformation modulus of a rock mass

ENGINEERING WITH COMPUTERS 2016年第4期32卷 567-580页

作者： Fattahi, Hadi Arak Univ Technol Dept Min Engn Arak Iran

Deformation modulus of a rock mass is one of the crucial parameters used in the design of surface and underground rock engineering structures. Determination of this parameter by testing cylindrical core samples is almost impossible due to the presence of discontinuities. Due to the problems in determining the deformability of jointed rock masses at the laboratory-scale, various in situ test methods such as plate loading tests, dilatometer etc. have been developed. Although these methods are currently the best techniques, they are expensive and time-consuming, and present operational problems. To overcome this difficulty, in this paper, presents the results of the application of hybrid support vector regression (SVR) with harmony search algorithm , differential evolution algorithm and particle swarm optimization algorithm (PSO). The optimized models were applied to available data given in open source literature and the performance of optimization algorithm was assessed by virtue of statistical criteria. In these models, rock mass rating (RMR), depth, uniaxial compressive strength of intact rock (UCS) and elastic modulus of intact rock (E (i)) were utilized as the input parameters, while the deformation modulus of a rock mass was the output parameter. The comparative results revealed that hybrid of PSO and SVR yield robust model which outperform other models in term of higher squared correlation coefficient (R (2)) and variance account for (VAF) and lower mean square error (MSE), root mean squared error (RMSE) and mean absolute percentage error (MAPE).

关键词： Deformation modulus Support vector regression harmony search algorithm Differential evolution algorithm Particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction

引用

EXPERT SYSTEMS WITH APPLICATIONS 2016年 44卷 320-331页

作者： Gocken, Mustafa Ozcalici, Mehmet Boru, Asli Dosdogru, Ayse Tugba Adana Sci & Technol Univ Dept Ind Engn TR-01180 Adana Turkey Kilis 7 Aralik Univ Business & Adm Dept Kilis Turkey Gaziantep Univ Dept Ind Engn Gaziantep Turkey

Stock market price is one of the most important indicators of a country's economic growth. That's why determining the exact movements of stock market price is considerably regarded. However, complex and uncertain behaviors of stock market make exact determination impossible and hence strong forecasting models are deeply desirable for investors' financial decision making process. This study aims at evaluating the effectiveness of using technical indicators, such as simple moving average of close price, momentum close price, etc. in Turkish stock market. To capture the relationship between the technical indicators and the stock market for the period under investigation, hybrid Artificial Neural Network (ANN) models, which consist in exploiting capabilities of harmony search (HS) and Genetic algorithm (GA), are used for selecting the most relevant technical indicators. In addition, this study simultaneously searches the most appropriate number of hidden neurons in hidden layer and in this respect;proposed models mitigate well-known problem of overfitting/underfitting of ANN. The comparison for each proposed model is done in four viewpoints: loss functions, return from investment analysis, buy and hold analysis, and graphical analysis. According to the statistical and financial performance of these models, HS based ANN model is found as a dominant model for stock market forecasting. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Artificial Neural Network Genetic algorithm harmony search algorithm Stock market price

来源：评论

学校读者我要写书评

暂无评论

A comparative study on optimum design of multi-element truss structures

引用

STEEL AND COMPOSITE STRUCTURES 2016年第3期22卷 521-535页

作者： Artar, Musa Bayburt Univ Dept Civil Engn TR-69000 Bayburt Turkey

A harmony search (HS) and Genetic algorithms (GA), two powerful metaheuristic search techniques, are used for minimum weight designs of different truss structures by selecting suitable profile sections from a specified list taken from American Institute of Steel Construction (AISC). A computer program is coded in MATLAB interacting with SAP2000-OAPI to obtain solution of design problems. The stress constraints according to AISC-ASD (Allowable Stress Design) and displacement constraints are considered for optimum designs. Three different truss structures such as bridge, dome and tower structures taken from literature are designed and the results are compared with the ones available in literature. The results obtained from the solutions for truss structures show that optimum designs by these techniques are very similar to the literature results and HS method usually provides more economical solutions in multi-element truss problems.

关键词： AISC-ASD harmony search algorithm genetic algorithm optimum design truss structures

来源：评论

学校读者我要写书评

暂无评论

Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks

引用

SWARM AND EVOLUTIONARY COMPUTATION 2016年 30卷 1-10页

作者： Shankar, T. Shanmugavel, S. Rajesh, A. VIT Univ Sch Elect Engn Vellore Tamil Nadu India Natl Engn Coll Kovilpatti Tamil Nadu India

Energy efficiency is a major concern in wireless sensor networks as the sensor nodes are battery-operated devices. For energy efficient data transmission, clustering based techniques are implemented through data aggregation so as to balance the energy consumption among the sensor nodes of the network. The existing clustering techniques make use of distinct Low-Energy Adaptive Clustering Hierarchy (LEACH), harmony search algorithm (HSA) and Particle Swarm Optimization (PSO) algorithms. However, individually, these algorithms have exploration-exploitation tradeoff (PSO) and local search (HSA) constraint. In order to obtain a global search with faster convergence, a hybrid of HSA and PSO algorithm is proposed for energy efficient cluster head selection. The proposed algorithm exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes. The performance of the hybrid algorithm is evaluated using the number of alive nodes, number of dead nodes, throughput and residual energy. The proposed hybrid HSA-PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Particle Swarm Optimization harmony search algorithm LEACH Wireless sensor network

来源：评论

学校读者我要写书评

暂无评论

An improved meta-heuristic approach for solving identical parallel processor scheduling problem

引用

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2016年第6期230卷 1114-1126页

作者： Bathrinath, S. Saravanasankar, S. Mahapatra, S. S. Singh, Manas Ranjan Ponnambalam, S. G. Kalasalingam Univ Dept Mech Engn Krishnankoil India Natl Inst Technol Rourkela Dept Mech Engn Rourkela 769008 India Monash Univ Malaysia Sch Engn Bandar Sunway Malaysia

This article considers the problem of scheduling n jobs on m identical parallel processors where an optimal schedule is defined as one that produces minimum makespan (the completion time of the last job) and total tardiness among the set of schedules. Such a problem is known as identical parallel processor makespan and total tardiness problem. In order to minimize makespan and total tardiness of identical parallel processors, improved versions of particle swarm optimization and harmony search algorithm are proposed to enhance scheduling performance with less computational burden. The major drawback of particle swarm optimization in terms of premature convergence at initial stage of iterations is avoided through the use of mutation, a commonly used operator in genetic algorithm, by introducing diversity in the solution. The proposed algorithm is termed as particle swarm optimization with mutation. The convergence rate of harmony search algorithm is improved by fine tuning of parameters such as pitch adjusting rate and bandwidth for improving the solution. The performance of the schedules is evaluated in terms of makespan and total tardiness. The results are analyzed in terms of percentage deviation of the solution from the lower bound on makespan. The results indicate that particle swarm optimization with mutation produces better solutions when compared with genetic algorithm and particle swarm optimization in terms of average percentage deviation. However, harmony search algorithm outperforms genetic algorithm, particle swarm optimization, and particle swarm optimization with mutation in terms of average percentage deviation. In certain instances, the solution obtained by harmony search algorithm outperforms existing clonal selection particle swarm optimization.

关键词： Identical parallel processors genetic algorithm particle swarm optimization mutation harmony search algorithm makespan total tardiness

来源：评论

学校读者我要写书评

暂无评论

Predicting anomalous zone ahead of tunnel face utilizing electrical resistivity: I. algorithm and measuring system development

引用

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 2016年第Nov.期60卷 141-150页

作者： Park, Jinho Lee, Kang-Hyun Park, Jeongjun Choi, Hangseok Lee, In-Mo Korea Univ Sch Civil Environm & Architectural Engn Seoul South Korea Korea Expressway Corp Res Inst Disaster & Safety Res Div Gimcheon Si Gyeongsangbuk D South Korea

This study applies the harmony search (HS) inverse analysis algorithm and develops the tunnel resistivity prediction (TRP) system for predicting the location, thickness, permittivity ratio, and conductivity of the anomalous zone ahead of the tunnel face by utilizing electrical resistivity. The relationship between the four characteristic values of the anomalous zone and the electrical resistance is derived using Gauss' laws and Ohm's laws. The optimum values of HS algorithm operators (such as the harmony memory considering rate (HMCR) and the pitch adjust rate (PAR)) are proposed that can provide the best inverse analysis that correlates the four characteristic values with the electrical resistance. Also, the prediction accuracy of inverse analysis using the proposed HS algorithm is verified by laboratory tests on the artificially formed ground with an anomaly. An electrical resistance measuring system is devised to obtain the electrical resistance of the ground, and inverse analyses are performed from the measured resistance to estimate the four characteristic values of the artificial anomaly. The test results from laboratory scale experiments show that the characteristics of the anomalies are predicted reasonably well, resulting in less than 3% average error. This paper is part 1 of the companion papers;the second paper will verify the developed system through the field tests. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Tunnel resistivity prediction harmony search algorithm Anomalous zone Resistivity survey Ahead tunnel face

来源：评论

学校读者我要写书评

暂无评论

Risk-constrained multi-level framework for coordination of generation and transmission expansion planning in liberalised environments - part II: method and case studies

引用

IET GENERATION TRANSMISSION & DISTRIBUTION 2016年第13期10卷 3191-3200页

作者： Shivaie, Mojtaba Ameli, Mohammad T. Shahid Beheshti Univ Dept Elect Engn AC Tehran Iran

This paper presents a new hybrid method for solving the proposed multi-level optimisation problem, as described in Part I. The hybrid method employs a novel two-stage multi-dimensional melody search algorithm (MSA) with an innovative alternative improvisation procedure (AIP). This hybrid method handles the different levels of the proposed multi-level framework. The two-stage multi-dimensional MSA is a recently developed optimisation algorithm, which is derived from the harmony search algorithm (HSA). Unlike the HSA, the MSA uses different player memories and a group improvisation procedure for finding the best substitution of pitches within a melody. These two features can enhance the performance of the MSA in comparison with the HSA. In addition, to improve the efficiency of the proposed MSA, an innovative improvisation scheme based on the AIP is used for generating new melodies. The proposed methodology has been applied on the 46-bus south Brazilian electric power grid and the IEEE 118-bus test system under two different scenarios in order to demonstrate the feasibility and capabilities of the newly developed framework. The obtained results from case studies validate sufficiency and profitableness of the offered multi-level framework.

关键词： power generation planning power transmission planning risk management optimisation power grids search problems risk-constrained multilevel framework generation expansion planning coordination transmission expansion planning coordination multilevel optimisation problem novel two-stage multidimensional melody search algorithm two-stage multidimensional MSA alternative improvisation procedure AIP optimisation algorithm harmony search algorithm HSA player memories group improvisation procedure 46-bus south Brazilian electric power grid IEEE 118-bus test system

来源：评论

学校读者我要写书评

暂无评论

Optimal cost design of water distribution networks using a decomposition approach

引用

ENGINEERING OPTIMIZATION 2016年第12期48卷 2141-2156页

作者： Lee, Ho Min Yoo, Do Guen Sadollah, Ali Kim, Joong Hoon Korea Univ Sch Civil Environm & Architectural Engn Seoul South Korea Korea Univ Res Ctr Disaster Prevent Sci & Technol Seoul South Korea Islamic Azad Univ Semnan Branch Strateg Ctr Energy & Sustainable Dev Semnan Iran

Water distribution network decomposition, which is an engineering approach, is adopted to increase the efficiency of obtaining the optimal cost design of a water distribution network using an optimization algorithm. This study applied the source tracing tool in EPANET, which is a hydraulic and water quality analysis model, to the decomposition of a network to improve the efficiency of the optimal design process. The proposed approach was tested by carrying out the optimal cost design of two water distribution networks, and the results were compared with other optimal cost designs derived from previously proposed optimization algorithms. The proposed decomposition approach using the source tracing technique enables the efficient decomposition of an actual large-scale network, and the results can be combined with the optimal cost design process using an optimization algorithm. This proves that the final design in this study is better than those obtained with other previously proposed optimization algorithms.

关键词： water distribution network optimal cost design decomposition approach source tracing harmony search algorithm

来源：评论

学校读者我要写书评

暂无评论

Evolutionary optimization technique for comparative analysis of different classical controllers for an isolated wind-diesel hybrid power system

引用

SWARM AND EVOLUTIONARY COMPUTATION 2016年 26卷 120-136页

作者： Mahto, Tarkeshwar Mukherjee, V. Indian Sch Mines Dept Elect Engn Dhanbad Jharkhand India

In this paper, the considered hybrid power system (HPS) is having a wind turbine generator, a diesel engine generator (DEG) and a storage device (such as capacitive energy storage). This paper presents a comparative study of frequency and power control for the studied isolated wind-diesel HPS with four different classical controllers for the pitch control of wind turbines and the speed governor control of DEG The classical controllers considered are integral, proportional-integral, integral-derivative and proportional-integral-derivative (PID) controller. A quasi-oppositional harmony search (QOHS) algorithm is proposed for the tuning of the controller gains. The comparative dynamic simulation response results indicate that better performance may be achieved with choosing PID controller among the considered classical controllers, when subjected to different perturbation. Stability and sensitivity analysis, presented in this paper, reveals that the optimized PID controller gains offered by the proposed QOHS algorithm are quite robust and need not be reset for wide changes in system perturbations. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Classical controllers Frequency harmony search algorithm Isolated hybrid wind diesel power system Power and PID controller

来源：评论

学校读者我要写书评

暂无评论

Scaled and unscaled ground motion sets for uni-directional and bi-directional dynamic analysis

引用

EARTHQUAKES AND STRUCTURES 2016年第3期10卷 563-588页

作者： Kayhan, Ali Haydar Univ Pamukkale Dept Civil Engn Denizli Turkey

In this study, solution models are proposed to obtain code-compatible ground motion record sets which can be used for both uni-directional and bi-directional dynamic analyses. Besides scaled, unscaled ground motion record sets are obtained to show the utility and efficiency of the solution models. For scaled ground motion sets the proposed model is based on hybrid HS-Solver which integrates heuristic harmony search (HS) algorithm with the spreadsheet Solver add-in. For unscaled ground motion sets HS based solution model is proposed. Design spectra defined in Eurocode-8 for different soil types are selected as target spectra. The European Strong Motion Database is used to get ground motion record sets. Also, a sensitivity analysis is conducted to evaluate the effect of different HS solution parameters on the solution accuracy. Results show that the proposed solution models can be regarded as efficient ways to develop scaled and unscaled ground motion sets compatible with code-based design spectra.

关键词： ground motion selection harmony search algorithm response history analysis

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：