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A multi-objective grouping harmony search algorithm for the optimal distribution of 24-hour medical emergency units

EXPERT SYSTEMS WITH APPLICATIONS 2013年第6期40卷 2343-2349页

作者： Landa-Torres, I. Manjarres, D. Salcedo-Sanz, S. Del Ser, J. Gil-Lopez, S. TECNALIA RES & INNOVAT OPTIMA Area Zamudio 48170 Bizkaia Spain Univ Alcala de Henares Dept Signal Theory & Commun Madrid 28871 Spain

This paper presents a novel multi-objective heuristic approach for the efficient distribution of 24-h emergency units. This paradigm is essentially a facility location problem that involves determining the optimum locations, within the existing health care centers, where to deploy 24-h emergency resources, as well as an efficient assignment of patients to such newly placed resources through the existing medical care infrastructure. The formulation of the underlying NP-complete problem is based on a bi-objective distance and cost metric, which is tackled in our approach by combining a harmony search algorithm with a grouping encoding and a non-dominated solution sorting strategy. Additionally, the nominal grouping encoding procedure has been redefined in order to reduce the dimension of the search space, thus allowing for a higher efficiency of the searching process. Extensive simulations in a real scenario - based on the geographic location of medical centers over the provinces of Guadalajara and Cuenca (Spain) - show that the proposed algorithm is statistically robust and provides a wide range of feasible solutions, hence offering multiple alternatives for the distribution of emergency units. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm Multi-objective optimization Grouping-based encoding Health-care facility location problem

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A survey on applications of the harmony search algorithm

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2013年第8期26卷 1818-1831页

作者： Manjarres, D. Landa-Torres, I. Gil-Lopez, S. Del Ser, J. Bilbao, M. N. Salcedo-Sanz, S. Geem, Z. W. Tecnalia Res & Innovat Optima Area Zamudio 48170 Bizkaia Spain Univ Basque Country Dept Commun Engn Bilbao 48013 Spain Univ Alcala Madrid Dept Signal Theory & Commun Madrid Spain Gachon Univ Dept Energy IT Songnam 461701 South Korea

This paper thoroughly reviews and analyzes the main characteristics and application portfolio of the so-called harmony search algorithm, a meta-heuristic approach that has been shown to achieve excellent results in a wide range of optimization problems. As evidenced by a number of studies, this algorithm features several innovative aspects in its operational procedure that foster its utilization in diverse fields such as construction, engineering, robotics, telecommunications, health and energy. This manuscript will go through the most recent literature on the application of harmony search to the aforementioned disciplines towards a three-fold goal: (1) to underline the good behavior of this modern meta-heuristic based on the upsurge of related contributions reported to date;(2) to set a bibliographic basis for future research trends focused on its applicability to other areas;(3) to provide an insightful analysis of future research lines gravitating on this meta-heuristic solver. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm State of the art Applications

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A hybrid quantum inspired harmony search algorithm for 0-1 optimization problems

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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 2013年 253卷 14-25页

作者： Layeb, Abdesslem Univ Constantine Dept Comp Sci MISC Lab Constantine Algeria

This paper presents a new hybrid natural algorithm based on harmony search algorithm (HSA) and Quantum Computing (QC). The main features of the proposed algorithm called Quantum Inspired harmony search algorithm (QIHSA) is the integration of quantum representation scheme in the basic harmony search algorithm that allows applying successfully some quantum inspired operators like measurement and interference. This hybridization between quantum inspired computing and harmony search algorithm has led to an efficient hybrid framework which achieves better balance between the exploration of HS algorithm and the exploitation capabilities of the quantum inspired computing. Experiments on knapsack problems show the effectiveness of the proposed framework and its ability to achieve good quality solutions. (C) 2013 Elsevier B.V. All rights reserved.

关键词： harmony search algorithm Quantum computing Hybrid algorithms Knapsack problems

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Thinly-distributed Cylindrical Array Antenna Optimization Based on Improved Genetic algorithm

Thinly-distributed Cylindrical Array Antenna Optimization Ba...

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9th International Conference on Signal and Image Processing (ICSIP)

作者： Ye, Shuhan Zhang, Jinwan Wu, Yuyi Lin, Jia Yan, Yuxin Sun Yat Sen Univ Elect & Commun Engn Shenzhen Peoples R China

ISBN: (纸本)9798350350920

In response to the urgent demand for lightweight, low-cost, and low-energy-consumption radar systems for unmanned aerial and ground vehicles, this study conducts research on sparse radar array optimization. Based on the relationship between array performance and array structure, an improved genetic algorithm is proposed. This optimization algorithm enhances the traditional genetic algorithm using a harmony search algorithm. By constructing an adaptive function, employing a hybrid crossover strategy, and utilizing perturbation updates, it seeks the optimal solution in a larger search space, optimizing array structure and deployment design. This is achieved by sparsifying part of the array elements from a uniformly spaced full array, forming a non-uniform array with element spacing constrained to integer multiples of half-wavelength. Compared to traditional genetic algorithms and other methods, the proposed approach achieves higher gain with fewer antenna elements, significantly suppresses sidelobes, reduces power consumption and cost, and obtains excellent performance indicators.

关键词： sparse radar array improved genetic algorithm(GA) harmony search algorithm

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Non-convex economic dispatch with heuristic load patterns, valve point loading effect, prohibited operating zones, ramp-rate limits and spinning reserve constraints using harmony search algorithm

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ELECTRICAL ENGINEERING 2013年第1期95卷 53-61页

作者： Arul, R. Ravi, G. Velusami, S. Annamalai Univ Dept Elect Engn Annamalainagar 608002 Tamil Nadu India Pondicherry Engn Coll Dept EEE Pondicherry India

This paper attempts to investigate the applicability of harmony search algorithm (HSA) to solve extremely challenging non-convex economic load dispatch problem with valve point loading effect, prohibited operating zones, ramp-rate limits, spinning reserve constrains and transmission losses involving variations of consumer load patterns. The performance of the proposed approach HSA has been tested successfully on the standard 6-bus, IEEE-14 bus and IEEE-30 bus system with several heuristic load patterns. The results of this study reveals that the proposed approach is able to find appreciable economical load dispatch solutions than those of improved fast evolutionary program and particle swarm optimization. Besides this, the transmission line losses are also considerably reduced and the computation time is reasonably even and less when compared to other methods.

关键词： Economic load dispatch Load patterns Transmission losses harmony search algorithm Particle swarm optimization Improved fast evolutionary programming Valve point loading effect Prohibited operating zones Ramp-rate limits Spinning reserve constraints

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A new multiobjective optimal allocation of multitype FACTS devices for total transfer capability enhancement and improving line congestion using the harmony search algorithm

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2013年第4期21卷 957-979页

作者： Esmaeili, Abbas Esmaeili, Saeld Shahid Bahonar Univ Kerman Dept Elect Engn Kerman Iran

In this paper, a new approach based on novel heuristic algorithms is used to locate and model multitype flexible alternating current transmission system (FACTS) devices (series and parallel) in order to improve the total transfer capability and decrease the line congestion and total power loss. The multitype FACTS devices, including the static synchronous series compensator, static compensator, and unified power flow controller, have been optimally sized and located simultaneously through the harmony search algorithm (HSA). To achieve this purpose, a program in MATLAB code has been developed in order to extend the conventional Newton-Raphson algorithm for multitype facts applications. Since the optimization is multipurpose, an analytical hierarchy process is used to obtain the priority vector for each alternative. The HSA, with a good convergence property and more accurate results, can satisfy the objective function better. The effectiveness of the proposed method is demonstrated using a modified 30-bus IEEE test system as well as Iranian 230 kV southeast regional grids in normal and contingency conditions. On the other hand, the optimization performance is compared with a genetic algorithm and particle swarm optimization. The simulation results illustrate that the proposed algorithm performs better than the other algorithms. Moreover, it is shown that simultaneous optimizations of multitype FACTS devices have more advantages than the separate optimization of single-type ones.

关键词： FACTS devices harmony search algorithm total transfer capability lines congestion analytical hierarchy process power losses

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Application of improved multi objective particle swarm optimization and harmony search in highway engineering

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RESULTS IN ENGINEERING 2023年 20卷

作者： Wei, Qiang Jiang, Tianen Zhao, Yuzhen Yu, Meng Liu, Konglei Wei, Zheng Zhejiang Baitu Engn Construct Co Ltd Hangzhou 310008 Peoples R China Zhejiang Jishi Construct Grp Co Ltd Hangzhou 310008 Peoples R China Jinhua Transportat Planning & Design Inst Co Ltd Jinhua 321015 Peoples R China Zhejiang Chengjun Construct Engn Co Ltd Jinhua 321015 Peoples R China Transportat Engn Management Ctr Zhejiang Prov Hangzhou 310000 Peoples R China

Highway engineering construction is a complex multi-objective management project, and the traditional multi objective task management approach has been difficult to cope with the uniqueness of highway engineering construction management. In order to improve the efficiency of multi-objective management in highway engineering, the study proposes to construct a multi-objective management model using particle swarm and harmony search algorithms for highway engineering management. First of all, the study first explores the management indexes in highway engineering, and constructs the functional relationship according to the selected indexes. Then the particle swarm algorithm is used to optimize the database of the harmonic search algorithm, and the harmony search algorithm can be based on the optimized database to find the optimal solution for objective management. The experimental results show that the improved particle swarm and harmony search algorithm has good distribution and convergence. After the optimization of the proposed model, the multi-objective highway project management scheme is 39% ahead of schedule, 17% savings in input funds, and 2.56% and 3.56% improvement in highway quality indexes and ecological environment management indexes, respectively, compared with the original scheme. Therefore, the model has a good application prospect to formulate the optimal multi-objective management scheme with excellent performance to improve the management efficiency of highway engineering.

关键词： PSO harmony search algorithm Highway engineering Multiple objectives Administration

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Shape optimization of structures for frequency constraints by sequential harmony search algorithm

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ENGINEERING OPTIMIZATION 2013年第6期45卷 627-646页

作者： Gholizadeh, S. Barzegar, A. Urmia Univ Dept Civil Engn Orumiyeh Iran

Shape optimization of structures with frequency constraints is a highly nonlinear dynamic optimization problem. In order to deal with this type of optimization problem, efficient optimization algorithms should be employed. The main objective of the present study is to propose an efficient harmony search (HS)-based algorithm for solving the shape optimization problem of pin-jointed structures subject to multiple natural frequency constraints. In the proposed algorithm an enhanced version of HS is employed in the framework of the sequential unconstrained minimization technique. The efficiency of the presented sequential harmony search (SHS) algorithm is illustrated through several benchmark optimization examples and the results are compared to those of different optimization techniques. The numerical results demonstrate the computational advantages of the SHS in shape optimization of structures for frequency constraints.

关键词： shape optimization harmony search algorithm frequency constraint sequential unconstrained minimization technique

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Vibration-based damage detection in anisotropic laminated composite beams by a shear-deformable finite element and harmony search optimization

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STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION 2022年第6期65卷 181-181页

作者： Kahya, Volkan Simsek, Sebahat Togan, Vedat Karadeniz Tech Univ Fac Engn Dept Civil Engn TR-61080 Trabzon Turkey

A numerical procedure to detect and quantify damages in laminated composite beams with arbitrary lay-up using limited vibration data and harmony search optimization is presented. Since any damage in a structure changes its vibration characteristics, they can be considered as the diagnostic parameters with the help of an optimization technique. For the present study, frequencies and mode shapes are used as the damage diagnostic parameters, and the harmony search algorithm is used as the optimization tool. For finite element analyses, a five-node, thirteen-degree-of-freedom shear-deformable beam element is employed. This element can take into account the elastic couplings among extension, bending, and torsion arising due to material anisotropy existing in generally laminated composites as well as the Poisson's effect. The damage to the beam is introduced by a stiffness loss coefficient at the elemental level while mass is assumed to be unchanged. Two different objective functions to be minimized are considered for damage detection. The efficacy of the proposed method with and without the presence of noise is demonstrated by two numerically simulated composite beams including single and multiple damages. Although its accuracy somewhat decreases in case of multiple minor damages, the proposed method is successful to detect moderate and severe single and multiple damages in practice. To overcome this weakness, (i) the algorithm can be hybridized with other metaheuristics, (ii) objective function can be enhanced by combining it with other vibration characteristics such as curvature, flexibility, and so on, or (iii) two- or multi-stage damage identification methods can be considered.

关键词： Vibration-based damage detection Laminated composite beam Finite element method harmony search algorithm Limited vibration data

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Optimization of plate-fin heat exchangers by an improved harmony search algorithm

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APPLIED THERMAL ENGINEERING 2013年第1期50卷 877-885页

作者： Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin Abdullah, Abdul Hanan Univ Teknol Malaysia Fac Mech Engn Dept Thermofluids Skudai 81310 Johor Malaysia Univ Teknol Malaysia Fac Comp Sci Skudai 81310 Johor Malaysia

This study explores the use of a proposed variant of harmony search algorithm for design optimization of plate-fin heat exchangers. The algorithm deals with a large number of continuous and discrete variables. To handle the constraints in the optimization problem, a self-adaptive penalty function scheme is used. The efficiency and accuracy of the proposed method are demonstrated through an illustrative example taken from previous studies. Numerical results indicate that the presented approach can generate optimum solutions with higher accuracy when compared to Genetic algorithms (GAS), Particle Swarm Optimization (PSO) and GA hybrids with PSO (GAHPSO). (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Plate-fin heat exchanger Evolutionary computation harmony search algorithm Constraint handling

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