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22nd International Conference on Neural Information Processing (ICONIP)

作者： Abu Doush, Iyad Bataineh, Mohammad Qasem Yarmouk Univ Dept Comp Sci Irbid Jordan

ISBN: (纸本)9783319265322;9783319265315

A multi-objective optimization problem is an area concerned an optimization problem involving more than one objective function to be optimized simultaneously. Several techniques have been proposed to solve Multi-Objective Optimization Problems. The two most famous algorithms are: NSGA-II and MOEA/D. harmony search is relatively a new heuristic evolutionary algorithm that has successfully proven to solve single objective optimization problems. In this paper, we hybridized two well-known multi-objective optimization evolutionary algorithms: NSGA-II and MOEA/D with harmony search. We studied the efficiency of the proposed novel algorithms to solve multi-objective optimization problems. To evaluate our work, we used well-known datasets: ZDT, DTLZ and CEC2009. We evaluate the algorithm performance using Inverted Generational Distance (IGD). The results showed that the proposed algorithms outperform in solving problems with multiple local fronts in terms of IGD as compared to the original ones (i.e., NSGA-II and MOEA/D).

关键词： Multi-objective optimization problems harmony search algorithm Multi-objective optimization evolutionary algorithms

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An implementation of harmony search algorithm to the set covering problem 11

An implementation of harmony search algorithm to the set cov...

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11th International Conference on Natural Computation (ICNC) / 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Lin, Geng Minjiang Univ Dept Math Fuzhou 350108 Fujian Peoples R China

ISBN: (纸本)9781467376792

The set covering problem (SCP) seeks to find a subset of columns that have the least sum of costs to cover a set of rows. It is an NP-hard problem, and finds a lot of real world applications. In this paper, we present a harmony search algorithm (HSA) to solve the SCP. It uses a greedy construction procedure to generate an initial harmony memory, and presents a repair operator to guarantee the feasibility of new generated solutions. New solutions are further improved by a local search procedure. The HSA is tested on 45 instances from literature. Simulation results and comparisons show that HSA can get high quality solutions of the set covering problem.

关键词： harmony search algorithm set covering problem local search heuristic

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An Improved harmony search algorithm for the Location of Critical Slip Surfaces in Slope Stability Analysis

An Improved Harmony Search Algorithm for the Location of Cri...

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5th International Conference on Intelligent Computing

作者： Li, Liang Yu, Guang-Ming Lu, Shi-Bao Wang, Guo-Yan Chu, Xue-Song Qingdao Technol Univ Qingdao 266033 Peoples R China

ISBN: (纸本)9783642040191

The harmony search algorithm was found to be sensitive to the parameters used in the algorithm. Although there is no theoretical method for the determination of values of the used parameters, a dynamic procedure for the values of parameters and a new Substituting procedure are proposed in this study which will be demonstrated to be efficient for the location of critical slip Surfaces of soil slopes in the slope stability analysis.

关键词： Artificial intelligence Engineering optimization harmony search algorithm Slope stability analysis

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Use of multi-criteria decision-making for selecting spillway type and optimizing dimensions by applying the harmony search algorithm: Qeshlagh Dam Case Study

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Lakes and Reservoirs: Science, Policy and Management for Sustainable Use 2019年第1期24卷 66-75页

作者： Hassanvand, Mohammad R. Karami, Hojat Mousavi, Sayed-Farhad Department of Water Engineering and Hydraulic Structures Faculty of Civil Engineering Semnan University Semnan Iran

Economic considerations are significantly important in designing a dam and its related hydraulic structures. Considering the methods used for economic design of hydraulic structures such as a spillway, they are also dependent on the construction costs of the spillway. In addition to the spillway type and capacity being associated with the magnitude of floods. Selecting different options of a spillway, considering all their aspects, has always been one of the biggest issues in decision-making. The present study determined the best spillway type (free-flow, stepped, semicircular and cylindrical) for Qeshlagh Dam, Iran, by considering different aspects (costs, time and performance) and using the TOPSIS method. The obtained dimensions of the spillway from multi-criteria decision-making were then optimized using meta-heuristic harmony search algorithm (HSA). The results identified a free-flow spillway was the best option in terms of cost and time, whereas a cylindrical spillway is the best choice in terms of performance. The optimal free-flow spillway length is 31.8 m, and height is 3.45 m, being capable of passing a flood discharge of 452 m ³ /s. This discharge was calculated by a reservoir routing method. Moreover, the obtained solution led to reducing the spillway construction costs, one of the most important issues in civil engineering projects. © 2018 John Wiley & Sons Australia, Ltd

关键词： construction costs harmony search algorithm multi-criteria decision-making optimizing spillway dimensions

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Locating and Sizing of Series FACTS Devices Using Line Outage Sensitivity Factors and harmony search algorithm

Locating and Sizing of Series FACTS Devices Using Line Outag...

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2nd International Conference on Advances in Energy Engineering (ICAEE)

作者： Javaheri, H. Goldoost-Soloot, R. Univ Javid Dept Elect Engn Jiroft Iran

This paper proposes the use of series FACTS devices to relieve congestion and enhance the security in restructured power system. harmony search algorithm as a novel heuristic algorithm is employed for optimal locating and sizing of series FACTS devices. In order to reduce the solution space and to pinpoint the lines which are more suitable for FACTS device placement line outage sensitivity factors is employed. Two different objective functions are considered in the optimization problem, the first one is the total congestion cost and the other is total generation cost. To validate the effectiveness of the proposed method and show its efficiency, the simulations are carried out on IEEE 14-bus test system. The results of the proposed method are compared with those obtained by particle swarm optimization and with those obtained by congestion rent contribution method. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the organizing committee of 2nd International Conference on Advances in Energy Engineering (ICAEE).

关键词： Congestion management Series FACTS devices line outage sensitivity factors harmony search algorithm

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An Adaptive harmony search algorithm based on Positive Feedback for Network Reconfiguration

An Adaptive Harmony Search Algorithm based on Positive Feedb...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Li, Zhi Han, Yuqi Zhang, Yu Bao, Yingkai Guo, Chuangxin Zhang, Jianmin Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China Hangzhou Dianzi Univ Coll Elect Engn & Automat Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781509041688

Distribution network reconfiguration is a complex and discrete nonlinear combinatory optimization problem. In this paper, an adaptive harmony search algorithm based on positive feedback (PFAHSA) is proposed to solve the problem for reducing power loss in distribution systems. The PFAHSA incorporates a local optimal method based on positive feedback mechanism into traditional harmony improvising criteria for better utilization of harmony memory (HM) and higher convergence speed. The algorithm parameters are updated adaptively by modified entropy, which measures the diversity of HM, to avoid prematurity and improve search success rate. The proposed method is testified on the IEEE 33- and 69-bus systems and is compared with other conventional approaches. Simulation results show that the proposed method features faster optimization speed and better global convergence performance.

关键词： distribution network reconfiguration harmony search algorithm positive feedback mechanism entropy adaptive parameter setting

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Solving Flexible Manufacturing System Distributed Scheduling Problem Subject to Maintenance Using harmony search algorithm

Solving Flexible Manufacturing System Distributed Scheduling...

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4th Conference on Data Mining and Optimization (DMO)

作者： Khalid, Mohd Nor Akmal Yusof, Umi Kalsom Sabudin, Maziani Univ Sains Malaysia Sch Comp Sci Usm 11800 Penang Malaysia

ISBN: (纸本)9781467327183

Flexible manufacturing system is one of the industrial branches that highly competitive and rapidly expand. Globalization of the industrial system has encouraged the development of distributed manufacturing, including flexible manufacturing system. As such, the complexity of the problem faced in this new environment promotes current researcher to develop various approaches in optimizing the production scheduling. Approaches such as petri net, ant colony, genetic algorithm, intelligent agents, particle swarm optimization, and tabu search are used to apprehend optimization issues. In reality, maintenance is one of the core parts which is important to the manufacturing scheduling as it will affect greatly toward the manufacturing scheduling when the machine breakdown happen. Unfortunately, most approaches disregard the preventive maintenance in the production scheduling problem. In this paper, a harmony search algorithm is introduced to address the problem which includes maintenance. The problem description is successfully represented and the algorithm performance is studied with several parameter tunings.

关键词： distributed-manufacturing flexible manufacturing system harmony search algorithm preventive maintenance

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PCNN Edge Detection of Sintering Pellets Image Based on Hybrid harmony search algorithm

PCNN Edge Detection of Sintering Pellets Image Based on Hybr...

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International Conference on Artificial Intelligence and Computational Intelligence

作者： Wang Jie-sheng Gao Xian-wen Liaoning Univ Sci & Technol Sch Elect & Informat Engn Anshan Peoples R China Northeasetern Univ Key Lab Process Ind Automat Minst Educ Shenyang Peoples R China

ISBN: (纸本)9780769538167

harmony search (HS) is a newly developed derivativefree and meta-heuristic algorithm mimicking the improvisation process of musicians, which has been very successful in a wide variety of optimization problems. A hybrid optimization method is proposed for self-tuning pulse coupled neural network (PCNN) parameters, a biologically inspired spiking neural network, based on harmony search algorithm and simulated annealing (SA) idea and was used to detect sintering pellets image edges automatically and successfully. The effective of the proposed method is verified by simulation results, that is to say, the quality of the sintering pellets grayscale image edge detection is much better and parameters are set automatically.

关键词： pulse-coupled neural network harmony search algorithm simulated annealing edge detection sintering pellets image

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A Global harmony search algorithm Based on Tent Chaos Map and Elite Reverse Learning 14

A Global Harmony Search Algorithm Based on Tent Chaos Map an...

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14th International Conference on Advanced Computational Intelligence

作者： Liu, Tianqi Yang, Hua Yu, Jing Zhou, Kang Jiang, Feng Wuhan Polytech Univ Sch Math & Comp Sci Wuhan 430048 Peoples R China Zhongnan Univ Econ & Law Sch Math & Stat Wuhan 430073 Peoples R China

ISBN: (数字)9781665470452

ISBN: (纸本)9781665470469;9781665470452

To improve the performance of the harmony search algorithm and enable the processing of increasingly complicated optimization problems, a global harmony search algorithm based on tent chaos map and elite reverse learning (HS-TE) has been proposed. The algorithm uses the tent chaos map to initialize the population and adopts the elite reverse learning strategy to optimize the iterative process. The method reduces the algorithm's dependence on the initial solution, improves the search optimization ability, enhances the diversity of the population, and establishes adaptive parameters to control the development and exploration of the iterative process, which is beneficial to improving the algorithm's search ability. Create test experiments: Various HS algorithms perform classic benchmark function tests. The experimental test data shows that the algorithm is better than the current five improved harmony search algorithms and has better convergence and accuracy. The algorithm is used to improve the penalty parameters and kernel function parameters of SVR, and then use the optimized SVR to perform regression prediction on the daily opening number of the Shanghai Stock Exchange. According to the experimental results, the upgraded SVR provides better prediction performance. It works both in theory and in real life and can be used to predict the Shanghai Securities Composite Index.

关键词： harmony search algorithm elite reverse learning tent chaos map adaptive parameters svr

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An Improved Adaptive harmony search algorithm

An Improved Adaptive Harmony Search Algorithm

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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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