BODMA: A Novel Metaheuristic Algorithm for Binary Optimization Problems Based on Open source Development Model Algorithm

被引:0
|
作者
Khormouji, Hamed Behzadi [1 ]
Hajipour, Hossein [1 ]
Rostami, Habib [1 ]
机构
[1] Persian Gulf Univ Bushehr, Dept Comp Engn, Bushehr 75168, Iran
来源
2014 7TH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST) | 2014年
关键词
meta-heuristic algorithm; evolutionary computation; binary optimization; transfer function; open source development model 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
Open source Development Model Algorithm (ODMA) is one of the recently proposed heuristic algorithms that is inspired by open source software development mechanism and community's behaviors. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO). However, the original version of this algorithm is suitable for continuous problems, so it cannot be applied to binary problems directly. In this paper, a binary version of this algorithm is proposed. A comparative study with binary PSO and GA over 7 benchmark functions is conducted to draw a conclusion. The results prove that the proposed binary Open source Development Model Algorithm (BODMA) is able to significantly outperform others on majority of the benchmark functions.
引用
收藏
页码:49 / 54
页数:6
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