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

来源：

UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2012年 / 7卷

关键词：

D O I：

暂无

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.

引用

页码：394 / 399

页数：6

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