检索结果-内蒙古大学图书馆

Modified bat algorithm for Localization of Wireless Sensor Network

WIRELESS PERSONAL COMMUNICATIONS 2016年第2期86卷 657-670页

作者： Goyal, Sonia Patterh, Manjeet Singh Punjabi Univ Dept Elect & Commun Engn Patiala 144011 Punjab India

The problem of node localization in wireless sensor networks aims to assign th e geographical coordinates to each device with unknown position, in the deployment area. In this paper the meta heuristic optimization algorithm known as bat algorithm is described in order to evaluate the precision of node localization problem in wireless sensor networks. Meanwhile the existing bat algorithm has also been modified by using the bacterial foraging strategies of bacterial foraging optimization algorithm. Compared with the existing bat algorithm, the proposed modified bat algorithm is shown through simulations to perform constantly better not only in increasing localization success ratios and fast convergence speed but also enhance its robustness.

关键词： Wireless sensor network Localization bat algorithm Modified bat algorithm

来源：评论

学校读者我要写书评

暂无评论

An enhanced bat algorithm approach for reducing electrical power consumption of air conditioning systems based on differential operator

引用

APPLIED THERMAL ENGINEERING 2016年 99卷 834-840页

作者： Coelho, Leandro dos Santos Askarzadeh, Alireza Pontifical Catholic Univ Parana PUCPR Ind & Syst Engn Grad Program PPGEPS Curitiba Parana Brazil Univ Fed Parana Dept Elect Engn BR-80060000 Curitiba Parana Brazil Grad Univ Adv Technol Inst Sci & High Technol & Environm Sci Dept Energy Management & Optimizat Kerman Iran

Energy saving plays a vital role in the decision-making process surrounding building design. Most often, the power consumption of chillers has a significant proportion of the total power consumption of the heating, ventilating and air conditioning (HVAC) systems. The problem of efficiently managing multiple chiller systems (MCSs) in HVAC is complex in many respects. In particular, the electrical energy consumption markedly increases if the machines are not properly managed. In this paper, an extended version of optimal chiller loading (OCL), namely, daily optimal chiller loading (DOCL) is introduced where a 24-h cooling load profile should be satisfied by a number of chillers so that the total power consumption of the chillers during 24-h is minimized. Then, an efficient optimization method is proposed for solving the DOCL by means of a new enhanced differential bat algorithm (DBA) which is a swarm intelligence paradigm. The simulation results represent that DBA produces promising results in comparison with other optimization metaheuristics, such as the original BA, firefly algorithm (FA), harmony search (HS), chicken swarm optimization (CSC), differential evolution (DE) and exponential natural evolution strategy (xNES). (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Multiple chiller systems optimization Electrical power consumption bat algorithm Differential evolution

来源：评论

学校读者我要写书评

暂无评论

Drilling rate of penetration prediction and optimization using response surface methodology and bat algorithm

引用

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING 2016年 31卷 829-841页

作者： Moraveji, Mostafa Keshavarz Naderi, Meysam Amirkabir Univ Technol Dept Chem Engn Tehran Polytech 424 Hafez Ave Tehran 158754413 Iran Amirkabir Univ Technol Dept Petr Engn Tehran Polytech 424 Hafez Ave Tehran 158754413 Iran

Rate of penetration (ROP) prediction is crucial for drilling optimization because of its role in minimizing drilling costs. There are many factors, which determine the drilling rate of penetration. Typical factors include formation properties, mud rheology, weight on bit, bit rotation speed, type of bit, wellbore inclination, and bit hydraulics. In this paper, first, the simultaneous effect of six variables on penetration rate using real field drilling data has been investigated. Response surface methodology (RSM) was used to develop a mathematical relation between penetration rate and six factors. The important variables include well depth (D), weight on bit (WOB), bit rotation speed (N), bit jet impact force (IF), yield point to plastic viscosity ratio (Y-p/PV), 10 min to 10 s gel strength ratio (10MGS/10SGS). Next, bat algorithm (BA) was used to identify optimal range of factors in order to maximize drilling rate of penetration. Results indicate that the derived statistical model provides an efficient tool for estimation of ROP and determining optimum drilling conditions. Sensitivity study using analysis of variance shows that well depth, yield point to plastic viscosity ratio, weight on bit, bit rotation speed, bit jet impact force, and 10 min to 10 s gel strength ratio have the greatest effect on ROP variation respectively. Cumulative probability distribution of predicted ROP shows that the penetration rate can be estimated accurately at 95% confidence interval. In addition, study shows that by increasing well depth, there is an uncertainty in selecting the jet impact force as the best objective function to determine the effect of hydraulics on penetration rate. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Drilling Penetration rate Response surface methodology bat algorithm

来源：评论

学校读者我要写书评

暂无评论

bat algorithm for Efficient Query Expansion: Application to MEDLINE

引用

World Conference on Information Systems and Technologies (WorldCIST)

作者： Khennak, Ilyes Drias, Habiba USTHB Dept Comp Sci Lab Res Artifcial Intelligence BP 32 El Alia 16111 Algiers Algeria

ISBN: (纸本)9783319312323;9783319312316

Query expansion (QE) has long been suggested as an effective way to improve the retrieval effectiveness and overcome the shortcomings of search engines. Notwithstanding its performance, QE still suffers from limitations that have limited its deployment as a standard component in search systems. Its major drawback is the retrieval efficiency, especially for large-scale data sources. To overcome this issue, we first put forward a new modeling of query expansion with a new and original metaheuristic namely, bat-Inspired Approach to improve the computational cost. Then, this approach is used to retrieve both the best expansion keywords and the best relevant documents simultaneously unlike the previous works where these two tasks are performed sequentially.

关键词： Information retrieval query expansion metaheuristics bat algorithm MEDLINE

来源：评论

学校读者我要写书评

暂无评论

An elitist non-dominated sorting bat algorithm NSbat-II for multi-objective optimization of phthalic anhydride reactor

引用

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 2016年第3期7卷 299-315页

作者： Prakash, Shiv Trivedi, Vibhu Ramteke, Manojkumar Indian Inst Technol Delhi Dept Chem Engn Delhi India

Nature inspired meta-heuristic algorithms are an integral part of modern optimization techniques. One such algorithm is bat algorithm which is inspired from echolocation behavior of bats and has been successfully applied to nonlinear single-objective optimization problems. In this paper, a multi-objective extension of bat algorithm is proposed using the concepts of Pareto non-dominance and elitism. The novel algorithm is tested using thirty multi-objective test problems. The performance is measured using metrics namely, hypervolume ratio, generational distance and spacing. The newly developed algorithm is then applied to a real-world multiobjective optimization problem of a phthalic anhydride reactor. It shows faster convergence for test problems as well as the industrial optimization problem than two popular nature inspired meta-heuristic algorithms, i.e. multi-objective non-dominated sorting particle swarm optimization and real-coded elitist non-dominated sorting genetic algorithm.

关键词： Genetic algorithm bat algorithm Particle swarm optimization Phthalic anhydride reactor

来源：评论

学校读者我要写书评

暂无评论

Improved bat algorithm with optimal forage strategy and random disturbance strategy

引用

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2016年第4期8卷 205-214页

作者： Cai, Xingjuan Gao, Xiao-zhi Xue, Yu Taiyuan Univ Sci & Technol Complex Syst & Computat Intelligence Lab Taiyuan 030024 Shanxi Peoples R China Aalto Univ Dept Elect Engn & Automat Aalto 00076 Finland Nanjing Univ Informat Sci & Technol Sch Comp & Software Nanjing 210044 Jiangsu Peoples R China

bat algorithm is a novel bio-inspired stochastic optimisation algorithm. However, due to the limited exploration and exploitation capabilities, the performance is not well when dealing with some multi-modal numerical problems. In this paper, optimal forage strategy is designed to guide the search direction for each bat and a random disturbance strategy is also employed to extend the global search pattern. To test the performance, CEC2013 benchmark test suit and four other evolutionary algorithms are employed to compare, simulation results show our odification is effective.

关键词： bat algorithm optimal forage strategy random disturbance strategy

来源：评论

学校读者我要写书评

暂无评论

An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems

引用

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2016年 48卷 59-71页

作者： Osaba, Eneko Yang, Xin-She Diaz, Fernando Lopez-Garcia, Pedro Carballedo, Roberto Univ Deusto Deusto Inst Technol DeustoTech Bilbao 48007 Spain Middlesex Univ Sch Sci & Technol London NW4 4BT England

bat algorithm is a population metaheuristic proposed in 2010 which is based on the echolocation or biosonar characteristics of microbats. Since its first implementation, the bat algorithm has been used in a wide range of fields. In this paper, we present a discrete version of the bat algorithm to solve the well-known symmetric and asymmetric Traveling Salesman Problems. In addition, we propose an improvement in the basic structure of the classic bat algorithm. To prove that our proposal is a promising approximation method, we have compared its performance in 37 instances with the results obtained by five different techniques: evolutionary simulated annealing, genetic algorithm, an island based distributed genetic algorithm, a discrete firefly algorithm and an imperialist competitive algorithm. In order to obtain fair and rigorous comparisons, we have conducted three different statistical tests along the paper: the Student's t-test, the Holm's test, and the Friedman test. We have also compared the convergence behavior shown by our proposal with the ones shown by the evolutionary simulated annealing, and the discrete firefly algorithm. The experimentation carried out in this study has shown that the presented improved bat algorithm outperforms significantly all the other alternatives in most of the cases. (c) 2015 Elsevier Ltd. All rights reserved.

关键词： bat algorithm Traveling Salesman Problem Genetic algorithms Combinatorial optimization Routing problems

来源：评论

学校读者我要写书评

暂无评论

Coordinated design of fuzzy supplementary controllers for generator and STATCOM voltage regulators using bat algorithm optimization

引用

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2016年第9期26卷 1847-1862页

作者： Ramirez-Gonzalez, Miguel Castellanos-Bustamante, Rafael Guillermo Calderon-Guizar, J. Malik, Om. P. Inst Invest Elect Reforma 113 Cuernavaca 62490 Morelos Mexico Univ Calgary Dept Elect & Comp Engn 2500 Univ Dr NW Calgary AB T2N 1N4 Canada

A coordinated design of power system stabilizer and power oscillation damping controller for generator and STATCOM voltage regulators is presented. Because fuzzy logic has the potential to overcome the inherent limitations of conventional and analytical model-based design approaches, simple fuzzy logic controllers operating as power system stabilizer and power oscillation damping controller are used in this work to enhance power system stability. The coordinated design of these fuzzy supplementary controllers (FSCs) is formulated as a constrained optimization problem with a time-domain based cost function. The optimal set of controller parameters is determined by applying a simultaneous tuning approach based on bat algorithm optimization. Simulations of a two-area power system under several operating conditions and perturbations are carried out to validate the effectiveness of the proposed alternative in damping system oscillations. Performance of the proposed coordinated FSCs is compared with other coordinated and uncoordinated design approaches, including coordinated FSCs using genetic algorithm and particle swarm optimization. Copyright (C) 2016 John Wiley & Sons, Ltd.

关键词： bat algorithm fuzzy controller power system stabilizer STATCOM power oscillation damping controller power system stability

来源：评论

学校读者我要写书评

暂无评论

Multi-swarm bat algorithm for association rule mining using multiple cooperative strategies

引用

APPLIED INTELLIGENCE 2016年第4期45卷 1021-1033页

作者： Heraguemi, Kamel Eddine Kamel, Nadjet Drias, Habiba Univ Setif Dept Comp Sci Fac Sci Setif Algeria USTHB LRIA Algiers Algeria

Association Rule Mining (ARM) can be considered as a combinatorial problem with the purpose of extracting the correlations between items in sizeable datasets. The numerous polynomial exact algorithms already proposed for ARM are unadapted for large databases and especially for those existing on the web. Assuming that datasets are a large space search, intelligent algorithms was used to found high quality rules and solve ARM issue. This paper deals with a cooperative multi-swarm bat algorithm for association rule mining. It is based on the bat-inspired algorithm adapted to rule discovering problem (bat-ARM). This latter suffers from absence of communication between bats in the population which lessen the exploration of search space. However, it has a powerful rule generation process which leads to perfect local search. Therefore, to maintain a good trade-off between diversification and intensification, in our proposed approach, we introduce cooperative strategies between the swarms that already proved their efficiency in multi-swarm optimization algorithm(Ring, Master-slave). Furthermore, we innovate a new topology called Hybrid that merges Ring strategy with Master-slave plan previously developed in our earlier work [23]. A series of experiments are carried out on nine well known datasets in ARM field and the performance of proposed approach are evaluated and compared with those of other recently published methods. The results show a clear superiority of our proposal against its similar approaches in terms of time and rule quality. The analysis also shows a competitive outcomes in terms of quality in-face-of multi-objective optimization methods.

关键词： Data mining Association rule mining Multi-swarm optimization bat algorithm Multi-swarm bat algorithm bat-ARM

来源：评论

学校读者我要写书评

暂无评论

Robust adaptive control of a bio-inspired robot manipulator using bat algorithm

引用

EXPERT SYSTEMS WITH APPLICATIONS 2016年 56卷 164-176页

作者： Rahmani, Mehran Ghanbari, Ahmad Ettefagh, Mir Mohammad Univ Tabriz Dept Mech Engn Tabriz Iran Univ Tabriz Sch Engn Emerging Technol Mechatron Lab Tabriz Iran

This paper proposes a novel adaptive fractional order PID sliding mode controller (AFOPIDSMC) using a bat algorithm to control of a Caterpillar robot manipulator. A fractional order PID (FOPID) control is applied to improve both trajectory tracking and robustness. Sliding mode controller (SMC) is one of the control methods which provides high robustness and low tracking error. Using hybridization, a new combined control law is proposed for chattering reduction by means of FOPID controller and high trajectory tracking through using SMC. Then, an adaptive controller design motivated from the SMC is applied for updating FOPID parameters. A metaheuristic approach, the bat search algorithm based on the echolocation behavior of bats is applied for optimal design of the Caterpillar robot in order to tune the parameter AFOPIDSMC controllers (BA-AFOPIDSMC). To study the effectiveness of bat algorithm, its performance is compared with five other controllers such as PID, FOPID, SMC, AFOPIDSMC and PSO-AFOPIDSMC. The stability of the AFOPIDSMC controller is proved by Lyapunov theory. Numerical simulation results completely indicate the advantage of BA-AFOPIDSMC for trajectory tracking and chattering reduction. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Caterpillar robot Fractional PID controller SMC Robust control Adaptive control bat algorithm

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：