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Conference on Computational Methods in Systems and Software (CoMeSySo)

作者： Soto, Ricardo Crawford, Broderick Olivares, Rodrigo Escarate, Felipe Pontificia Univ Catolica Valparaiso Valparaiso Chile Univ Valparaiso Valparaiso Chile

ISBN: (纸本)9783319676180

This paper focuses on modeling and solving the Manufacturing Cell Design Problem (MCDP) by using the harmony search (HS) metaheuristic. The MDCP consists on grouping machines and parts that they process, into groups called cells. So, the idea is to identify an organization of cells such that the number of times that a piece is transported between these cells is minimized. To this end, we use the HS optimization algorithm, which is based on the process of improvisation performed by musicians to find a perfect musical harmony. The experimental results demonstrate the efficiency of the proposed approach which is able to reach all global optimums for a set of 90 well-known MDCP instances.

关键词： Manufacturing cell design problem harmony search algorithm Metaheuristics

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Climbing harmony search algorithm for Nurse Rostering Problems 3rd

Climbing Harmony Search Algorithm for Nurse Rostering Proble...

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3rd International Conference of Reliable Information and Communication Technology (IRICT)

作者： Hadwan, Mohammed Ayob, Masri Al-Hagery, Mohammed Al-Tamimi, Bassam Naji Qassim Univ Dept Informat Technol Qassim Buraidah 51452 Saudi Arabia Univ Kebangsaan Malaysia Fak Teknol Dan Sains Maklumat Ctr Artificial Intelligent CAIT Data Min & Optimisat Res Grp DMO Bangi 43600 Selangor Malaysia Qassim Univ Coll Comp Dept Comp Sci Qassim Buraidah 51452 Saudi Arabia Taibah Univ Coll Comp Sci & Engn Dept Informat Syst Medina Saudi Arabia

ISBN: (纸本)9783319990071;9783319990064

Nurse Rostering Problem (NRP) is a well-known NP-Hard combinatorial optimization problem. The fact is that coping real-world constraints in allocating the shift duties fairly among the available nurses is still a hard task to accomplish. The problem becomes more serious due to the shortage of nurses. Thus, this work aims to tackle this problem by hybridizing an Enhanced harmony search algorithm (EHSA) with the standard Hill climbing (HC). This hybridization may help to strike the balance between exploration and exploitation in the searching process. The proposed algorithm is called Climbing harmony search algorithm (CHSA) where it applied to solve a real-world NRP dataset, which arises at the Medical Center of Universiti Kebangsaan. The results show that CHSA performs much better than EHSA alone and Basic harmony search algorithm (BHSA) in all instances in terms of obtained penalty values (PVs), desirable patterns (DPs) and computational time as well.

关键词： Nurse Rostering Problem (NRP) harmony search algorithm Hill climbing algorithm Metaheuristic algorithms Optimization

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harmony search algorithm: A Unique Music-inspired algorithm

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Procedia Engineering 2016年 154卷 1401-1405页

作者： Joong Hoon Kim School of Civil Environmental and Architectural Engineering Korea University Anamdong 5ga 1 Seongbukgu Seoul 136-713 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.

关键词： harmony search algorithm Evolution strategy Metaheuristic algorithm Rebutal

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A Modified harmony search algorithm for Optimization Problems

A Modified Harmony Search Algorithm for Optimization Problem...

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5th International Symposium on Computational Intelligence and Design (ISCID)

作者： Yang, Jiali Zhu, Jihong Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China

ISBN: (纸本)9780769548111

harmony search (HS) algorithm is a new meta-heuristic optimization algorithm inspired from the music improvisation process. Though the excellent performance makes it wildly used in many areas, it is easy to get trapped in local minima. This paper is to introduce a modified harmony search algorithm to improve the performance of HS algorithm. The method is implemented by adding an "innovative" process on global harmony search algorithm (GHSA), a variant of HS algorithm. This modification would be easy to make a balance of diversification and intensification. The benchmarks are designed to test the performance of the modified HS algorithm and the results show that the innovative HS algorithm has a better performance than the basic HS algorithm and its variants. In addition, to investigate the influence of parameter bw on the algorithm's performance, the tests are also conducted under the parameter bw with different types.

关键词： harmony search algorithm Evolutionary algorithms Global optimization

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Optimal Scheduling of Power System Using harmony search algorithm 12

Optimal Scheduling of Power System Using Harmony Search Algo...

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12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Ping, Ren Nan, Li Shenyang Univ Sch Informat Engn Shenyang Peoples R China Shenyang Univ Sch Teaching Shenyang Peoples R China

ISBN: (纸本)9781467376822

Nonlinear optimal control problem is transformed into a multi-objective mathematical optimization problem. harmony search (HS) algorithm is one of the new heuristics. In HS optimization algorithm is introduced for the first time in solving the short-term cascade hydroelectric power generation system plan. Canal head power house of the potential energy on the release of the best estimate of the situation presented to show the feasibility and efficiency of the method compared with conventional methods, optimization algorithms HS search time becomes short, the result is close to the ideal solution, at the same time.

关键词： optimal scheduling power system harmony search algorithm

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ON THE PERFORMANCE OF THE harmony search algorithm IN THE OPTIMIZATION OF LAMINATED COMPOSITE PLATES 1

ON THE PERFORMANCE OF THE HARMONY SEARCH ALGORITHM IN THE OP...

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1st Pan-American Congress on Computational Mechanics (PANACM) / XI Argentine Congress on Computational Mechanics (MECOM)

作者： De Almeida, Felipe S. Univ Fed Rio Grande do Sul Dept Civil Engn Ave Osvaldo Aranha 99 BR-90135190 Porto Alegre RS Brazil

ISBN: (纸本)9788494392825

This paper presents an evaluation of the performance of a relatively new heuristic method called harmony search (HS) algorithm in the optimization of the stacking sequence of a laminated plate. The objective of the optimization is to maximize the critical bucking load of a symmetric and balanced laminated plate containing 32, 48 or 64 plies with fiber orientations of 0(2)degrees, +/- 45 degrees or 90(2)degrees. The performance of the algorithm is determined based on the apparent reliability, which is used to evaluate the sensitivity of method with respect to the parameters harmony memory size (HMS), harmony memory consideration rate (HMCR) and pitch adjusting rate (PAR). Tests show that HMS has strong influence on HS performance and the best results are obtained with the higher HMS values. Less sensitivity was observed with respect to HMCR, but the PAR has a considerable effect on the apparent reliability. High levels of R were obtained with PAR values between 0.1 and 0.3. The last study investigate the effects of a linear variation of PAR during the optimization. Results indicate that PAR should be increased as the optimization advance

关键词： harmony search algorithm laminated composite plates discrete optimization

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A Niching Multi-objective harmony search algorithm for Multimodal Multi-objective Problems

A Niching Multi-objective Harmony Search Algorithm for Multi...

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IEEE Congress on Evolutionary Computation (IEEE CEC)

作者： Qu, B. Y. Li, G. S. Guo, Q. Q. Yan, L. Chai, X. Z. Guo, Z. Q. Zhongyuan Univ Technol Sch Elect & Informat Engn Zhengzhou 450007 Henan Peoples R China Henan Xuchang Senior High Sch Xuchang 461000 Peoples R China

ISBN: (纸本)9781728121536

A modified multi-objective harmony search algorithm called Niching Multi-objective harmony search algorithm (NMOHSA) is proposed to solve multimodal multi-objective optimization problems. It adopts the neighborhood information to build dynamic harmony memory for maintaining the population diversity. A new memory consideration rule is also applied to prevent the algorithm be trapped into local optimal solution. Moreover, two key parameters, harmony memory consideration rate (HMCR) and pitch adjustment rate (PAR), are dynamically adjusted. Empirical results show that the proposed algorithm performs much better than the other existing multimodal multi-objective algorithms in terms of the solution quality.

关键词： Evolutionary algorithm multimodal multi-objective problems harmony search algorithm niching technique

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An Amended harmony search algorithm for Unconstrained Optimization Problems

An Amended Harmony Search Algorithm for Unconstrained Optimi...

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3rd International Conference on Digital Manufacturing and Automation (ICDMA 2012)

作者： Li Ruoping Ouyang Haibin Gao Liqun Northeastern Univ Informat & Sci Coll Shenyang 110004 Peoples R China

ISBN: (纸本)9783037854624

harmony search (HS) algorithm is a new mate heuristic algorithm, which is conceptualized using the musical improvisation process of searching for a perfect state of harmony. Its own potential and shortage, one of its main disadvantages is that it easily trapped into local optima and converges very slowly. Based on the conception of swarm intelligence, this paper presents an amended harmony search (AHS) algorithm. AHS introduces a novel position updating strategy for generating new solution vectors, which enhances solution accuracy and convergence rate of algorithm. Several standard benchmark optimization functions are to be test and compare the performance of the AHS. The results revealed the superiority of the proposed method to the HS and its three improved algorithms (IHS, OHS and NGHS).

关键词： harmony search algorithm local optima swarm intelligence amended harmony search algorithm position updating

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Multimachine Power System Stabilizer Tuning using harmony search algorithm 2

Multimachine Power System Stabilizer Tuning using Harmony Se...

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IEEE International Conference on Electrical Power and Energy Systems (ICEPES)

作者： Chitara, Dhanraj Niazi, K. R. Swarnkar, Anil Gupta, Nikhil Malaviya Natl Inst Technol Dept Elect Engn Jaipur Rajasthan India

ISBN: (纸本)9781509024766

In this paper, Harmonic search Optimization (HSO) algorithm is implemented for tuning of multimachine Power System Stabilizer (PSS) to die out local and inter-area mode oscillations to enhance small signal stability. The performance of controller is compared with Particle Swarm Optimization (PSO) technique. A multi-objective eigenvalue based optimization problem involving maximization of damping factor and damping ratio is formulated for designing the PSS parameters. The parameters of the proposed PSS are optimized to transfer the unstable or lightly damped eigenvalues to a D-shape sector in left half of the s-plane. The performance of the proposed stabilizer is evaluated on 10-machine, 39-bus New England power system. The effectiveness of HSO based PSS (HSOPSS) is demonstrated by using the eigenvalue analysis and non-linear simulations. Moreover, the robustness of HSOPSS is evaluated by the performances indices results that assure well damped controller compare to PSO based PSS (PSOPSS) under varying loading conditions, severe line outage and three-phase short circuit faults.

关键词： harmony search algorithm particle swarm optimization low frequency oscillations power system stabilizer small signal stability

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Novel Multilevel Inverter Switching Technique Based On harmony search algorithm 11

Novel Multilevel Inverter Switching Technique Based On Harmo...

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11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)

作者： Radmanesh, Hamid Kavoosi, Ayoob Shahid Sattari Aeronaut Univ Sci & Technol Tehran Iran Amirkabir Univ Technol Tehran Iran

ISBN: (数字)9781728158495

ISBN: (纸本)9781728158495

In some studies, several inverters switching techniques have been introduced. Each switching scheme has its advantages and disadvantages depending on various applications. Among these switching schemes, Selective Harmonic Eliminated Pulse-Width Modulation Technique (SHEPWM) is a good choice due to a lower frequency and its PWM modulation Technique. In this switching, the harmonic elimination is subjected to the type of switching solution. Experience has shown that heuristics schemes can better solve harmonic problems. harmony search algorithm (HSA) is one of the methods that can be used to solve the nonlinear equations. In this paper, a new switching method is introduced, then it is used in a multi-level inverter of D-STATCOM to eliminate the harmonics. Finally, simulation results have been presented.

关键词： harmony search algorithm Multilevel Inverters Genetic algorithm Switching Angles

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