作者：
Kim, Joong HoonKorea 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, i...
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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.
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 hi...
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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 harmonysearch (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.
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 inv...
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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.
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 con...
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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 searchalgorithm 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.
Point to product module identification, a new optimization method is proposed in this paper. This approach uses the harmonysearch (HS) algorithm with the synthesis design structure matrix (DSM). The synthesis DSM thi...
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ISBN:
(纸本)9783037851036
Point to product module identification, a new optimization method is proposed in this paper. This approach uses the harmonysearch (HS) algorithm with the synthesis design structure matrix (DSM). The synthesis DSM thinks a series of property correlations facing the product lifecycle, such as function, geometer, physics, assistant and so on. An optimization function for module identification, based on the axiomatic design theory, is established. This optimization approach, which used HS algorithm, is tested several times and compared with other classical algorithms, such as simulated annealing algorithm (SAA) and genetic algorithm (GA). The result demonstrates the feasibility of the proposed approaches.
Product competitiveness, shorter product life cycle and increased product varieties are posing mere challenges to the manufacturing industries. The situation poses a need to improve the effectiveness and efficiency of...
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ISBN:
(纸本)9781612842127
Product competitiveness, shorter product life cycle and increased product varieties are posing mere challenges to the manufacturing industries. The situation poses a need to improve the effectiveness and efficiency of capacity planning and resource optimization while still maintaining their flexibilities. Machine loading-one of the important components of capacity planning is known for its complexity that encompasses various types of flexibilities pertaining to part selection, machine and operation assignment along with constraints. The main objective of the flexible manufacturing system (FMS) is to balance the productivity of the production floor as well as maintaining its flexibility. From the literature, optimization-based methods tend to be come impractical when the problem size increases while heuristic-based methods are more robust in their practicality although they may dependent on constraints of individual problems. We adopt a harmony search algorithm (HS) to solve this problem that aims on mapping the feasible solution vectors to the domain problem. The objectives are to minimize the system unbalance as well as increase through put while satisfying the technological constraints such as machine time availability and tool slots. The performance of the proposed algorithm is tested on 10 sample problems available in FMS literature and compared with existing solution methods.
This paper analyses the literature on the application of harmony search algorithm and discusses the application of the harmony search algorithm to calculate the kinetic parameters of the reaction. A mathematical model...
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ISBN:
(纸本)9781728170411
This paper analyses the literature on the application of harmony search algorithm and discusses the application of the harmony search algorithm to calculate the kinetic parameters of the reaction. A mathematical model is constructed for solving inverse kinetic problems for determining parameters taking into account the physical and chemical aspects of the process of the transformation of the pentane-hexane fraction catalytic isomerization, which allows predictive calculations.
This paper proposes statistical methods to find the parameter setting of an artificial intelligence technique, harmonysearch (HS) algorithm. The problem at hand is the travelling salesman problem (TSP) which is an NP...
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ISBN:
(纸本)9781538639955
This paper proposes statistical methods to find the parameter setting of an artificial intelligence technique, harmonysearch (HS) algorithm. The problem at hand is the travelling salesman problem (TSP) which is an NP-complete problem. Hence, a metaheuristic approach can give the near optimal solution in reasonable amount of computational time. The study makes use of the conventional HS to solve three benchmark problem sets in literature. The encoding and decoding schemes are presented. Then, the general full factorial design is used to find the HS' parameter setting. The analysis shows that HMCR and iteration number are significant. In addition, the appropriate setting of HMCR is 0.3 and iteration number is 5000.
Partner selection and optimization is one of key factors in building virtual enterprise, which have impact on the success of virtual enterprise. This paper analyzed the process of selecting partners and established th...
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ISBN:
(纸本)9783642274510
Partner selection and optimization is one of key factors in building virtual enterprise, which have impact on the success of virtual enterprise. This paper analyzed the process of selecting partners and established the optimization model for partner selection. This paper applied harmonysearch (HS) algorithm into the optimization model, the results show that the HS algorithm has better performance than genetic algorithm. Also, sensitivity analysis of HS parameters was performed to obtain a better idea of algorithm parameter values.
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, bu...
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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 harmonysearch (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.
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