检索结果-内蒙古大学图书馆

2nd International Symposium on Intelligent Systems Technologies and Applications (ISTA)

作者： Sarkhel, Ritesh Chowdhury, Tithi Mitra Das, Mayuk Das, Nibaran Nasipuri, Mita Jadavpur Univ Dept Comp Sci & Engn Kolkata W Bengal India

Evolutionary algorithms (EA) are robust optimization approaches which have been successfully applied to a wide range of problems. However, these well-established metaheuristic strategies are computationally expensive because of their slow convergence rate. Opposition Based Learning (OBL) theory has managed to alleviate this problem to some extent. Through simultaneous consideration of estimates and counter estimates of a candidate solution within a definite search space, better approximation of the candidate solution can be achieved. Although it addresses the slow convergence rate to some extent, it is far from alleviating it completely. The present work proposes a novel approach towards improving the performance of OBL theory by allowing the exploration of a larger search space when computing the candidate solution. Instead of considering all the components of the candidate solution simultaneously, the proposed method considers each of component individually and attempts to find the best possible combination by using a metaheuristic technique. In the present work, this improved Opposition learning theory has been integrated with the classical HS algorithm, to accelerate its convergence rate. A comparative analysis of the proposed method against classical Opposition Based Learning has been performed on a comprehensive set of benchmark functions to prove its superior performance.

关键词： Evolutionary algorithms Opposition Based Learning harmony search algorithm optimization

来源：评论

学校读者我要写书评

暂无评论

Two-Layer harmony search algorithm for a Robust Flow Shop Scheduling Problem

Two-Layer Harmony Search Algorithm for a Robust Flow Shop Sc...

引用

International Conference on Life System Modeling and Simulation (LSMS) / International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Wu, Bo Wang, Bing Han, Xingbao Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China

ISBN: (纸本)9789811063732;9789811063725

This paper discusses a two machines permutation flow-shop scheduling problem with uncertain job processing times, where the criterion is the weighted earliness and tardiness. Uncertain processing times are described by interval scenarios, and a robust scheduling model is established to minimize the maximum penalties for earliness and tardiness. The property for the worst-case scenario of processing times is discussed for this scheduling model. Based on the obtained conclusion, a two-layer harmony search algorithm is proposed to address the characteristic of two-layer searching space. The inner-layer harmony search algorithm is used for searching the scenario space for a given schedule, while the outer-layer harmony search algorithm is used for searching the min-max schedule space. Finally, an extensive experiment is conducted to testify the effectiveness of the proposed algorithm and the characteristics of the min-max robust solution obtained.

关键词： Flow-shop scheduling Min-max model Uncertain processing time harmony search algorithm

来源：评论

学校读者我要写书评

暂无评论

Evolving Spiking Neural Network (ESNN) and harmony search algorithm (HSA) for parameter optimization 6

Evolving Spiking Neural Network (ESNN) and Harmony Search Al...

引用

6th International Conference on Electrical Engineering and Informatics (ICEEI) - Sustainable Society Through Digital Innovation

作者： Yusuf, Zulhairi Mi Hamed, Haza Nuzly Abdull Yusuf, Lizawati Mi Isa, Mohd Adham Univ Teknol Malaysia Fac Comp Johor Baharu 81310 Johor Malaysia

ISBN: (纸本)9781538604755

Spiking Neural Network (SNN) acts as a part of the third generation of Artificial Neural Networks (ANNs). Evolving Spiking Neural Network (ESNN) is one of the most broadly utilized among in SNN models in numerous current research works. During the classification process, ESNN model acts as a classifier and three parameters are used in this article. However, the parameters are needed to set manually before the classification process. To solve the stated problems, ESNN required an optimizer that able to optimize the three parameters such as similarity value, modulation factor and proportion factor. The best estimations of parameters are adaptively chosen by harmony search algorithm (HSA) to abstain from choosing appropriate values for specific issues through the trial-and-error approach. Therefore, this article proposed the integration of ESNN as a classifier and HSA as an optimizer for parameter optimization. The experimental results give favorable accuracy rates via the hybrid of ESNN and HSA.

关键词： Evolving Spiking Neural Network (ESNN) harmony search algorithm Parameter Optimization Modulation Factor Proportion Factor Similarity Factors

来源：评论

学校读者我要写书评

暂无评论

harmony search algorithm: A unique music-inspired algorithm 12th

Harmony search algorithm: A unique music-inspired algorithm

引用

12th International Conference on Hydroinformatics (HIC) - Smart Water for the Future

作者： Kim, Joong Hoon Korea Univ Sch Civil Environm & Architectural Engn Anamdong 5ga 1 Seoul 136713 South Korea

Since the harmony search algorithm (HSA) was first introduced in 2001, it has drawn a world-wide attention mainly because of its balanced combination of exploration and exploitation and ease of application. The HSA, inspired by musical performance process, consists of three operators: random search, harmony memory considering rule, and pitch adjusting rule. The ways of handling exploration and exploitation with the three operators make the HSA a unique metaheuristic algorithm. However, a series of papers was recently published by an author which insisted that the HSA is equivalent to an evolution strategy (ES). The ES, based on ideas of adaptation and evolution, consists of two operators: recombination and mutation operators. Except the similarity in generating a single new solution at each iteration which can replace the worst solution in the population, other components (e.g., their exploration and exploitation strategies and structure) are totally different between the HSA and ES. This paper is written to rebut and point out academic flaws in the papers. (C) 2016 The Authors. Published by Elsevier Ltd.

关键词： harmony search algorithm Evolution strategy Metaheuristic algorithm Rebutal

来源：评论

学校读者我要写书评

暂无评论

harmony search algorithm Based Optimal Tuning of Interline Power Flow Controller for Congestion Management 2nd

Harmony Search Algorithm Based Optimal Tuning of Interline P...

引用

2nd International Conference on Computational Intelligence in Data Mining (ICCIDM)

作者： Mishra, Akanksha Kumar, G. V. Nagesh GITAM Univ GITAM Inst Technol Dept EEE Visakhapatnam Andhra Pradesh India

ISBN: (纸本)9788132227311;9788132227298

With rapid increase in private power producers to meet the increasing power demand, results in the congestion problem. As the power transfer is increasing the operation of power systems is becoming difficult due to higher scheduled and unscheduled power flows. Interline Power Flow Converter (IPFC) is a most flexible device and effective in reducing the congestion problem. In this paper line utilization factor (LUF) is used for finding the best location to place the IPFC. The harmony search (HS) algorithm is used for proper tuning of IPFC for a multi objective function which reduces active power loss, total voltage deviations, security margin and the capacity of installed IPFC of installed IPFC capacity. Simulation is carried out on IEEE-30 bus test system and the results are presented and analyzed to verify the proposed method.

关键词： Interline power flow converter harmony search algorithm Congestion Line utilization factor

来源：评论

学校读者我要写书评

暂无评论

harmony search algorithm with Ensemble of Surrogate Models 2nd

引用

2nd International Conference on harmony search algorithm (ICHSA)

作者： Mohanarangam, Krithikaa Mallipeddi, Rammohan Kyungpook Natl Univ Coll IT Engn 1370 Sanyuk Dong Daegu 702701 South Korea

ISBN: (纸本)9783662479261;9783662479254

Recently, harmony search algorithm (HSA) is gaining prominence in solving real-world optimization problems. Like most of the evolutionary algorithms, finding optimal solution to a given numerical problem using HSA involves several evaluations of the original function and is prohibitively expensive. This problem can be resolved by amalgamating HSA with surrogate models that approximate the output behavior of complex systems based on a limited set of computational expensive simulations. Though, the use of surrogate models can reduce the original functional evaluations, the optimization based on the surrogate model can lead to erroneous results. In addition, the computational effort needed to build a surrogate model to better approximate the actual function can be an overhead. In this paper, we present a novel method in which HSA is integrated with an ensemble of low quality surrogate models. The proposed algorithm is referred to as HSAES and is tested on a set of 10 bound-constrained problems and is compared with conventional HSA.

关键词： harmony search algorithm Surrogate modeling Ensemble Global optimization Polynomial regression model

来源：评论

学校读者我要写书评

暂无评论

harmony search algorithm for High-Demand Facility Locations Considering Traffic Congestion and Greenhouse Gas Emission 2nd

引用

2nd International Conference on harmony search algorithm (ICHSA)

作者： Oh, Yoonseok Park, Umji Kang, Seungmo Korea Univ Sch Civil Environm & Architectural Engn Seoul 136713 South Korea

ISBN: (纸本)9783662479261;9783662479254

Large facilities in urban areas generate lots of traffic and cause congestion that waste social time and become a major source of greenhouse gas (GHG). To overcome a shortcoming of the fixed transportation cost in conventional facility models, the congestion effect by facility users as well as general drivers in networks, with increased GHG emission is considered. In this paper, several harmony search algorithms with local search are developed and compared to the existing Tabu search algorithm in a variety of networks. The results demonstrate that the proposed approach and local search method can find better or comparable solution than other methods within a given time.

关键词： Facility location problem harmony search algorithm Traffic congestion Greenhouse gas emission

来源：评论

学校读者我要写书评

暂无评论

harmony search algorithm with dynamic pitch adjustment rate and fret width for image compression 2

harmony search algorithm with dynamic pitch adjustment rate ...

引用

Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast)

作者： Saparudin Kurniawan, Ade Univ Sriwijaya Fac Comp Sci Palembang Indonesia

ISBN: (纸本)9781467397919

the rapid growth of image capturing technology has generated the digital images, which have high resolution and large size. In general, the large sized image quality is better because it has higher color intensity, but data transmission is relatively slow or even failing. Image compression can improve the efficiency of storage space and transmission bandwidth usage. However, the image compression, which is categorized as lossy can reduce image quality. This paper implements improved harmony search (HS) algorithm for compression of color images by minimizing the reduction in image quality. The parameters of original HS algorithms including pitch adjustment rate (PAR) and fret width (FW) are fixed, whereas in improved HS algorithm, PAR and FW changed dynamically in accordance with the generation of solution vectors. Experimental results show color image compression using improved HS algorithm is better than original HS algorithm and other method.

关键词： Image Compression harmony search algorithm Lossy Compression Metaheuristics

来源：评论

学校读者我要写书评

暂无评论

A Hybrid harmony search algorithm for discrete sizing optimization of truss structure

引用

AUTOMATION IN CONSTRUCTION 2016年第Sep.期69卷 21-33页

作者： Cheng, Min-Yuan Prayogo, Doddy Wu, Yu-Wei Lukito, Martin Marcellinus Natl Taiwan Univ Sci & Technol Dept Civil & Construct Engn 43 Sec 4Keelung Rd Taipei 106 Taiwan Petra Christian Univ Dept Civil Engn Jalan Siwalankerto 121-131 Surabaya 60236 Indonesia

This paper presents a new variant of the harmony search (HS) algorithm. This Hybrid harmony search (HHS) algorithm follows a new approach to improvisation: while retaining HS algorithm harmony Memory and pitch adjustment functions, it replaces the HS algorithm randomization function with Global-best Particle Swarm Optimization (PSO) search and neighbourhood search. HHS algorithm performance is tested on six discrete truss structure optimization problems under multiple loading conditions. Optimization results demonstrate the excellent performance of the HHS algorithm in terms of both optimum solution and the convergence behaviour in comparison with various alternative optimization methods. (C) 2016 Elsevier B.V. All rights reserved.

关键词： harmony search algorithm Global-best PSO Neighbourhood search Hybrid harmony search algorithm Discrete sizing optimization of truss structures

来源：评论

学校读者我要写书评

暂无评论

Extending the Lifetime of Dynamic Underwater Acoustic Sensor Networks Using Multi-Population harmony search algorithm

引用

IEEE SENSORS JOURNAL 2016年第11期16卷 4034-4042页

作者： Lin, Chun-Cheng Deng, Der-Jiunn Wang, Shang-Bin Natl Chiao Tung Univ Dept Ind Engn & Management Hsinchu 3000 Taiwan Natl Changhua Univ Educ Dept Comp Sci & Informat Engn Changhua 500 Taiwan

Like wireless sensor networks, lifetime of sensors is the main constraint for performance of underwater acoustic sensor networks (UASNs). Most previous works on UASNs did not consider dynamics of networks, i.e., as time goes by, in practice, part of sensors may be malfunctioned, deplete their battery power, or get lost due to violent underwater environment changes. Therefore, this paper considers a UASN in ocean and proposes a sleep scheduling scheme in which sensor nodes and autonomous underwater vehicles in this network can dynamically choose to sleep or work to adapt to the environmental change. The concerned problem is to dynamically determine a sufficient number of active nodes in the UASN at different times, such that the targets required to be detected are covered. A special static scenario of the problem has been shown to be NP-complete. Hence, this paper proposes an improved multi-population harmony search algorithm to solve this dynamic problem. By simulation, the proposed algorithm shows high performance in terms of extending network lifetime, robustness, and computing time.

关键词： Underwater acoustic sensor network harmony search algorithm multi-population dynamic optimization

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：