Comparison of Physics-Based Optimization Algorithms by Using Benchmark Functions

被引：0
|
作者：
Kiziloluk, Soner [1 ]
Ozer, Ahmet Bedri [2 ]
机构：
[1] Tunceli Univ, Bilgisayar Muhendisligi Bolumu, Tunceli, Turkey
[2] Firat Univ, Bilgisayar Muhendisligi Bolumu, Elazig, Turkey
来源：
2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU) | 2016年
关键词：
electromagnetism-like algorithm; big bang-big crunch algorithm; gravitational search algorithm;
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：
Many of meta-heuristics optimization algorithms which are used to solving optimization problems are inspired from biological evolution, physical, social and chemical processes. Electromagnetism-like Algorithm (EM), Big Bang-Big Crunch Algorithm (BB-BC) and Gravitational Search Algorithm (GSA) are investigated in this study and they are physics-based meta-heuristics techniques. Performances of EM, BB-BC and GSA are compared by using Rastrigin, Rosenbrock and De Jong test functions.
引用
收藏
页码：409 / 412
页数：4
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