An enhanced artificial bee colony optimizer and its application to multi-level threshold image segmentation

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	An enhanced artificial bee colony optimizer and its application to multi-level threshold image segmentation
	Li X(李旭); Gao Y(高扬); Li HP(李鹤鹏); Dong M(董明)
刊名	Journal of Central South University
	2018
卷号	25 期号:1 页码:107-120
关键词	artificial bee colony local search swarm intelligence image segmentation
ISSN号	2095-2899
通讯作者	Gao Y(高扬)
产权排序	3
中文摘要	A modified artificial bee colony optimizer (MABC) is proposed for image segmentation by using a pool of optimal foraging strategies to balance the exploration and exploitation tradeoff. The main idea of MABC is to enrich artificial bee foraging behaviors by combining local search and comprehensive learning using multi-dimensional PSO-based equation. With comprehensive learning, the bees incorporate the information of global best solution into the solution search equation to improve the exploration while the local search enables the bees deeply exploit around the promising area, which provides a proper balance between exploration and exploitation. The experimental results on comparing the MABC to several successful EA and SI algorithms on a set of benchmarks demonstrated the effectiveness of the proposed algorithm. Furthermore, we applied the MABC algorithm to image segmentation problem. Experimental results verify the effectiveness of the proposed algorithm.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Metallurgy & Metallurgical Engineering
研究领域[WOS]	Metallurgy & Metallurgical Engineering
关键词[WOS]	PARTICLE SWARM OPTIMIZATION ; ALGORITHM ; SELECTION ; ENTROPY
收录类别	SCI ; EI ; CSCD
语种	英语
CSCD记录号	CSCD:6217511
WOS记录号	WOS:000426085200011
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/21598]
专题	沈阳自动化研究所_工业控制网络与系统研究室
作者单位	1.Benedictine University, Lisle 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.IL, United States 4.Academy of Information Technology, Northeastern University, Shenyang 110018, China
推荐引用方式 GB/T 7714	Li X,Gao Y,Li HP,et al. An enhanced artificial bee colony optimizer and its application to multi-level threshold image segmentation[J]. Journal of Central South University,2018,25(1):107-120.
APA	Li X,Gao Y,Li HP,&Dong M.(2018).An enhanced artificial bee colony optimizer and its application to multi-level threshold image segmentation.Journal of Central South University,25(1),107-120.
MLA	Li X,et al."An enhanced artificial bee colony optimizer and its application to multi-level threshold image segmentation".Journal of Central South University 25.1(2018):107-120.