نتایج جستجو برای: improved harmony search

تعداد نتایج: 730209  

2016
Osama Abdel - Raouf Mohamed Abdel - Baset

This paper presents an improved version of a harmony meta-heuristic algorithm, (IHSCH), for solving the linear assignment problem. The proposed algorithm uses chaotic behavior to generation a candidate solution in a behavior similar to acoustic monophony. Nume rical results show that the IHSCH is able to obtain the optimal results in comparison with tradit ional methods (the Hungarian method). ...

2015
M. Shafaati H. Mojallali

Due to the fact that the error surface of adaptive infinite impulse response (IIR) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. In this case, global optimization techniques are required in order to avoid the local minima. Harmony search (HS), a musical inspired metaheuristic, is a recently ...

Journal: :Fundam. Inform. 2009
Prithwish Chakraborty Gourab Ghosh Roy Swagatam Das Dhaval Jain Ajith Abraham

Harmony Search (HS) is a recently developed stochastic algorithm which imitates the music improvisation process. In this process, the musicians improvise their instrument pitches searching for the perfect state of harmony. Practical experiences, however, suggest that the algorithm suffers from the problems of slow and/or premature convergence over multimodal and rough fitness landscapes. This p...

Journal: :J. Applied Mathematics 2012
Longquan Yong Sanyang Liu Jianke Zhang Quanxi Feng

Harmony search HS method is an emerging metaheuristic optimization algorithm. In this paper, an improved harmony search method based on differential mutation operator IHSDE is proposed to deal with the optimization problems. Since the population diversity plays an important role in the behavior of evolution algorithm, the aim of this paper is to calculate the expected population mean and varian...

2016
Carlos Alberto Cobos Lozada Andrea Duque Jamith Bolaños Martha Mendoza Elizabeth León Guzman

The clustering of web search results or web document clustering (WDC) has become a very interesting research area among academic and scientific communities involved in information retrieval. Systems for the clustering of web search results, also called Web Clustering Engines, seek to increase the coverage of documents presented for the user to review, while reducing the time spent reviewing the...

Journal: :International Journal of Programming Languages and Applications 2013

2011
Saurabh Shukla Ankit Anand

Multi-objective optimization of industrial styrene reactor is done using Harmony Search algorithm. Harmony search algorithm is a recently developed meta-heuristic algorithm which is inspired by musical improvisation process aimed towards obtaining the best harmony. Three objective functions – productivity, selectivity and yield are optimized to get best combination of decision variables for sty...

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