Moth-Flame Optimization Algorithm for Solving Real Challenging Constrained Engineering Optimization Problems

被引：0
|
作者：
Jangir, Narottam [1 ]
Trivedi, Indrajit N. [2 ]
Pandya, Mahesh H. [1 ]
Bhesdadiya, R. H. [3 ]
Jangir, Pradeep [1 ]
Kumar, Arvind [4 ]
机构：
[1] Lukhdhirji Engn Coll, Dept Elect Engn, Morbi, Gujarat, India
[2] GEC Gandhinagar, Dept Elect Engn, Gandhinagar, Gujarat, India
[3] RK Univ, Sch Engn, Dept Elect Engn, Rajkot, Gujarat, India
[4] SS Engn Coll, Dept Elect Engn, Bhavnagar, Gujarat, India
来源：
2016 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS) | 2016年
关键词：
Moth-Flame optimization; constrained benchmark function; Nature-inspired; Constrained handling; Algorithm; DESIGN OPTIMIZATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a novel nature-inspired optimization algorithm based on the navigation strategy of Moths in universe called the Moth-Flame optimization (MFO) Algorithm, is applied for constrained optimization and engineering design problems. A comparative analysis of MFO algorithm expresses the optimum functional value in term of accuracy and standard deviation over rest of well-known constraint optimization algorithms. Five constrained benchmark function of engineering problems have been calculated and gained solutions were compared with other recognized algorithms. The gained solution expresses that MFO algorithm provides better results in various design problems compared to other optimization algorithms.
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页数：5
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