HANDLING NONLINEAR LARGE-SCALE PROBLEMS WITH MODIFIED FIREFLY ALGORITHM

被引:0
|
作者
Bahmanifirouzi, Bahman [1 ]
Fard, Abdollah Kavousi [2 ]
Niknam, Taher [3 ]
机构
[1] Islamic Azad Univ, Marvdasht Branch, Dept Elect Engn, Marvdasht, Iran
[2] Shiraz Univ, Elect & Elect Dept, Shiraz, Iran
[3] Shiraz Univ Technol, Elect & Elect Dept, Shiraz, Iran
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, an efficient optimization method called Modified Firefly Algorithm (MFA) is proposed to handle complex nonlinear optimization problems. In order to enhance the exploratory ability of the algorithm, a new modification process is integrated sufficiently. The proposed method is examined on several benchmark optimization problems with different characteristics and results are compared to some of the other well-known algorithms in the area.
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页码:394 / 399
页数:6
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