An Improved Pity Beetle Algorithm for Solving Constrained Engineering Design Problems

doi:10.3390/math10132211

	An Improved Pity Beetle Algorithm for Solving Constrained Engineering Design Problems
	Peng, Yu; Du, Xianjun
刊名	MATHEMATICS
	2022-07-01
卷号	10 期号:13
关键词	pity beetle algorithm (PBA) pheromone dispersion model (PDM) metaheuristic algorithm engineering optimization problems continuous optimization problems
DOI	10.3390/math10132211
英文摘要	To cope with increasingly complex models of engineering design problems and to obtain more accurate design solutions, this paper proposed an improved population-based, bio-inspired optimization algorithm, called the pity beetle algorithm based on pheromone dispersion model (PBA-PDM). PBA-PDM enables a local and global search for optimization problems through the pheromone release mechanisms in female beetles and the interaction relationship between male beetles. The experimental results compared with other state-of-the-art metaheuristic optimization algorithms show that PBA-PDM has an ideal performance when dealing with both classical test functions and CEC2017 benchmark test functions. Then, the PBA-PDM is applied in dealing with real-world constrained engineering design problems to verify the effectiveness and applicability. The above experimental results show that the PBA-PDM proposed in this paper is an effective and efficient algorithm for solving real-world optimization problems.
WOS研究方向	Mathematics
语种	英语
出版者	MDPI
WOS记录号	WOS:000822135900001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158830]
专题	电气工程与信息工程学院
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Peng, Yu,Du, Xianjun. An Improved Pity Beetle Algorithm for Solving Constrained Engineering Design Problems[J]. MATHEMATICS,2022,10(13).
APA	Peng, Yu,&Du, Xianjun.(2022).An Improved Pity Beetle Algorithm for Solving Constrained Engineering Design Problems.MATHEMATICS,10(13).
MLA	Peng, Yu,et al."An Improved Pity Beetle Algorithm for Solving Constrained Engineering Design Problems".MATHEMATICS 10.13(2022).