نتایج جستجو برای: discrete variables teaching learning based optimization harmony search

تعداد نتایج: 4058830  

Journal: :Expert Syst. Appl. 2015
Mohammed Azmi Al-Betar Mohammed A. Awadallah Ahamad Tajudin Abdul Khader Zahraa Adnan Abdalkareem

Harmony search (HS) algorithm is a recent meta-heuristic algorithm that mimics the musical improvisation concepts. This algorithm has been widely used for solving optimization problems. Moreover, many modifications in this algorithm have been carried out in order to improve the performance of the search. Island model is a structured population mechanism used in evolutionary algorithms to preser...

A. Azizi, A. Meshkat-Dini , M. Shahrouzi,

Practical design of tall frame-tube and diagrids are formulated as two discrete optimization problems searching for minimal weight undercodified constraints under gravitational and wind loading due to Iranian codes of practice for steel structures (Part 6 & Part 10). Particular encoding of design vector is proposed to efficiently handle both problems leading to minimal search space. Two types o...

Journal: :JSW 2014
Ming Huang Shujie Guo Xu Liang Xuan Jiao

Regression test is an effective means to ensure the quality of software. But the test efficiency will become lower and lower as the test case library becomes increasingly large in the test. Therefore, in order to improve the efficiency and quality of regression test, it is necessary to implement the test case safety reduction. The optimization selection of the test case is an effective means of...

2012
S. Gholizadeh A. Barzegar

The main aim of the present study is to propose a modified harmony search (MHS) algorithm for size and shape optimization of structures. The standard harmony search (HS) algorithm is conceptualized using the musical process of searching for a perfect state of the harmony. It uses a stochastic random search instead of a gradient search. The proposed MHS algorithm is designed based on elitism. In...

Journal: :Applied Mathematics and Computation 2014
Ehsan Valian Saeed Tavakoli Shahram Mohanna

Harmony search algorithm is a meta-heuristic optimization method imitating the music improvisation process, where musicians improvise their instruments’ pitches searching for a perfect state of harmony. To solve continuous optimization problems more efficiently, this paper presents an improved harmony search algorithm using the swarm intelligence technique. Applying the proposed algorithm to se...

A. Jayant Kulkarni, S. Kazemzadeh Azad ,

The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in ...

2008
Zong Woo Geem M. Fesanghary Jeong-Yoon Choi M. P. Saka Justin C. Williams M. Tamer Ayvaz Liang Li Sam Ryu

The harmony search (HS) is a music-inspired evolutionary algorithm, mimicking the improvisation process of music players (Geem et al., 2001). The HS is simple in concept, few in parameters, and easy in implementation, with theoretical background of stochastic derivative (Geem, 2007a). The algorithm was originally developed for discrete optimization and later expanded for continuous optimization...

2008
M. Fesanghary M. Mahdavi Y. Alizadeh

This study presents a hybrid harmony search algorithm (HHSA) to solve engineering optimization problems with continuous design variables. Although the harmony search algorithm (HSA) has proven its ability of finding near global regions within a reasonable time, it is comparatively inefficient in performing local search. In this study sequential quadratic programming (SQP) is employed to speed u...

2010
K. Latha R. Manivelu

Harmony search (HS) is a meta-heuristic algorithm mimicking the improvisation process of musicians. This paper arranges the basic structure of the HS algorithm and customizes the algorithm for clustering optimization problems. We propose novel clustering algorithm based on Harmony Search (HS) optimization method that deals with document clustering. By modeling Retrieval as an optimization probl...

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