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检索条件"主题词=Harmony Search algorithm"

共 638 条记录，以下是231-240 订阅

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An Improved Adaptive harmony search algorithm

An Improved Adaptive Harmony Search Algorithm

引用

10th World Congress on Intelligent Control and Automation (WCICA)

作者： Kong, Zhi Wang, Lifu Wu, Zhaoxia Qi, Shiqing Zou, Dexuan Northeastern Univ Dept Automat & Engn Qinhuangdao 066004 Hebei Peoples R China Xuzhou Normal Univ Sch Elect Engn & Automat Xuzhou 221116 Jiangsu Peoples R China

ISBN: (纸本)9781467313988

This paper is concerned with the global adaptive harmony search (GAHS) algorithms for solving optimization problems. GAHS employs global information to the adaptive harmony search algorithm. The proposed GAHS algorithm is tested numerically and contrasted with improved harmony search (AHS) algorithm, and particle swarm optimization (PSO). Our simulation results reveal that GAHS is superior to AHS and PSO in terms of robustness and efficiency.

关键词： harmony search algorithm Optimization Adaptive algorithmn Particle swarm optimaizaiton

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Approximate normal parameter reduction of fuzzy soft set based on harmony search algorithm 5

Approximate normal parameter reduction of fuzzy soft set bas...

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IEEE 5th International Conference on Big Data and Cloud Computing (BDCloud)

作者： Kong, Zhi Jia, Wenhua Wang, Lifu Northeastern Univ Qinhuangdao Sch Control Engn Qinhuangdao 066004 Hebei Peoples R China

ISBN: (纸本)9781467371834

Approximate normal parameter reduction of fuzzy soft set is an important problem in fuzzy soft set. while approximate reduction is a combinatorial optimization problem, and harmony search algorithm is a good method to deal with combinatorial optimization problem. Therefore, in this paper we discuss approximate normal parameter reduction of fuzzy soft set based on harmony search algorithm. Firstly, a mathematical model of approximate normal parameter reduction in fuzzy soft set is constructed. Then we calculate the approximate reduction using harmony search algorithm. And example is given to show the efficiency and rapidity.

关键词： approximate normal parameter reduction fuzzy soft set harmony search algorithm

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A Hybrid of Fireworks and harmony search algorithm for Multilevel Image Thresholding 10th

A Hybrid of Fireworks and Harmony Search Algorithm for Multi...

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10th International Conference on Advanced Computing and Communication Technologies (ICACCT)

作者： Shivali Maurya, Lalit Sharma, Ekta Mahapatra, Prasant Doegar, Amit CSIR Cent Sci Instruments Org Biomed Instrumentat Div V 2 Sect 30 Chandigarh 160030 India Natl Inst Tech Teachers Training & Res Dept Comp Sci & Engn Sect 26 Chandigarh 160019 India

ISBN: (纸本)9789811046032;9789811046025

Multilevel image thresholding is an essential part of image processing. This paper presents a hybrid implementation of fireworks and harmony search algorithm where Kapur's entropy is used as the fitness function for solving the problem. The results of the proposed method have been compared with the standard fireworks algorithm (FWA) and particle swarm optimization (PSO) based multi-level thresholding methods. Experimental results indicate that the proposed method is a promising approach in the field of image segmentation.

关键词： Image segmentation Multilevel image thresholding Fireworks algorithm harmony search algorithm Kapur's entropy

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A Spectral Clustering-Based Adaptive Hybrid Multi-Objective harmony search algorithm for Community Detection

A Spectral Clustering-Based Adaptive Hybrid Multi-Objective ...

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IEEE Congress on Evolutionary Computation (CEC)

作者： Li, Yangyang Chen, Jing Liu, Ruochen Wu, Jianshe Xidian Univ Key Lab Intelligent Percept & Image Understanding Minist Educ China Xian 710071 Peoples R China

ISBN: (纸本)9781467315098

A number of studies has focused on the community detection in complex networks in recent years. Single-objective approaches which have only one optimization function (e. g., modularity or modularity density) may have weaknesses such as just a single community structure can be obtained or resolution limit. In this paper, a spectral clustering-based adaptive hybrid multi-objective harmony search algorithm (SCAH-MOHSA) combined with a local search strategy is proposed to detect the community structure in complex networks. At first, an improved spectral method is employed to convert the community detection problem into a data clustering issue while the length of the representation of a harmony in the harmony memory can be determined. Then, an adaptive hybrid multi-objective harmony search algorithm is used to solve the multi-objective optimization problem so as to resolve the community structure. The experiments on both synthetic and real world networks demonstrate our method achieves partition results which fit the real situation in an even better fashion.

关键词： multi-objective optimization harmony search algorithm complex networks community detection hybrid spectral method

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Optimum Design of Concrete Cantilever Retaining Walls using the harmony search algorithm

Optimum Design of Concrete Cantilever Retaining Walls using ...

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10th International Conference on Computational Structures Technology

作者： Akin, A. Saka, M. P. Middle East Tech Univ Dept Engn Sci Ankara Turkey Univ Bahrain Dept Civil Engn Isa Town Bahrain

ISBN: (纸本)9781905088386

Optimum cost design of reinforced concrete cantilever retaining walls with harmony search algorithm is presented in this paper. The reinforced concrete cantilever retaining wall is the most common type among the retaining wall structures. In the formulation of the optimum design problem the height and thickness of stem, length of toe projection and the thickness of stem at base level, the length and thickness of base, the depth and thickness of key and the distance from toe to the key are treated as design variables. The values of these design variables are required to be selected from a design pool due to practical reasons which contains list of discrete numbers starting from the minimum value and increasing with a certain increment up to the maximum value for each variable. The design constraints are implemented according to the provisions of ACI 318-05. The optimum design satisfies the factor of safety for failure modes, strength, serviceability and other required limitations to attain practically acceptable shapes. The main target of the problem is to explore the conditions supporting the backfill safely, and to ensure that both the structure and the soil surrounding do not fail and that the deformations take place are within acceptable limits. The objective function is taken as the overall cost of the retaining wall. The optimum design problem formulated according to ACI 318-05 turns out to be a discrete programming problem. The solution of the design problem is obtained by using the harmony search algorithm (HS) which is one of the recent additions to metaheuristic techniques. The HS algorithm does not require any initial values for the design variables and uses a random search instead of a gradient search, so derivative information is unnecessary. In addition, harmony search algorithm uses few parameters which are initially specified and consists of simple steps which make it easy to implement. Number of design examples are presented to demonstrate the effici

关键词： structural optimization harmony search algorithm cantilever retaining walls reinforced concrete cost optimization discrete variables

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Optimal Estimation for Fault Section in Power System Based on harmony search algorithm

Optimal Estimation for Fault Section in Power System Based o...

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第25届中国控制与决策会议

作者： Ping Ren Liqun Gao Nan Li School of Information Engineering Shenyang University School of Information Science and Engineering Northeastern University Shenyang University

ISBN: (纸本)9781467355339

In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. harmony search （HS） algorithm is one of the new heuristic algorithms. The HS optimization algorithm is introduced for the first time in solving the fault section estimation performance in power systems. A case on optimal estimation for fault section in the part of the 230KV Southern Brazilian electric power system is presented to show the methodology’s feasibility and efficiency, compared with the existing fault section estimation in power system methods, the search time of the HS optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.

关键词： Optimal estimation Fault section Power system harmony search algorithm

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Harmonic Optimization in Multi-Level Inverters using harmony search algorithm

Harmonic Optimization in Multi-Level Inverters using Harmony...

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2nd International Power and Energy Conference (PECon 2008)

作者： Majidi, B. Baghaee, H. R. Gharehpetian, G. B. Milimonfared, J. Mirsalim, M. Amir Kabir Univ Technol Ctr Excellence Power Engn Tehran Iran

ISBN: (纸本)9781424424047

This paper presents a new method to optimize harmonic stepped waveform for multi-level inverters using harmony search algorithm. The method has the benefit of high rate of convergence and precision compared to other conventional optimization methods. The proposed technique can be applied to multi-level inverters with any number of levels. The goal of optimization is to eliminate some low order harmonics and to maintain the fundamental component at the desired value. As a case study, the method is applied and tested on a 13-level inverter. Simulation results show the effectiveness and flexibility of the proposed method.

关键词： Multi-Level Inverter Harmonics harmony search algorithm Genetic algorithm

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

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

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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

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Research of harmony search algorithm based on variable metric method

Research of Harmony Search Algorithm based on variable metri...

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26th Chinese Control and Decision Conference (CCDC)

作者： Qi Wei Liu Xuwang Henan Univ Sch Business Adm Kaifeng 475004 Peoples R China

ISBN: (纸本)9781479937066

harmony search algorithm is a good intelligent optimization algorithm, but it is not high robustness and large random. So combining variable metric method of the better local search ability, harmony search algorithm based on variable metric method is proposed. Giving the theory of the basic harmony search algorithm and variable metric method, the specific processes of the improved algorithm is analyzed, through four test functions demonstrate the performance of the improved algorithm. The numerical experiments show that the means of the algorithm are better than other given algorithms in the text, and standard deviations are better than other algorithms. This shows the improved algorithm has the better optimization ability, good robustness, and the method is easy implemented, it has a good prospect in engineering.

关键词： intelligent algorithms variable metric method harmony search algorithm robustness

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A harmony search algorithm FOR HYBRID FLOW SHOP SCHEDULING WITH MULTIPROCESSOR TASK PROBLEMS 6

A HARMONY SEARCH ALGORITHM FOR HYBRID FLOW SHOP SCHEDULING W...

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6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)

作者： Akkoyunlu, Mehmet Cabir Engin, Orhan Buyukozkan, Kadir Yildiz Tech Univ Dept Ind Engn Istanbul Turkey Selcuk Univ Dept Ind Engn Konya Turkey Karadeniz Tech Univ Dept Ind Engn Trabzon Turkey

ISBN: (纸本)9781467366014

Multiprocessor task can be stated as finding a schedule for a general graph to execute on a multiprocessor system. In this paper an efficient harmony search algorithm (HSA) is proposed to solve the hybrid flow shop scheduling with multiprocessor task problems (HFSMTP). The best values of HFS's control parameters are determined by full factorial design. Computational results are compared with the genetic algorithm related to the HFSMTP at the literature. The result showed that the proposed HSA is effective for solving HFSMTP.

关键词： Hybrid flow shop multiprocessor task scheduling problem harmony search algorithm

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