A hybrid artificial bee colony optimizer by combining with life-cycle, Powell’s search and crossover

Lianbo Ma, Kunyuan Hu, Yunlong Zhu and Hanning Chen

Applied Mathematics and Computation, 2015, vol. 252, issue C, 133-154

Abstract: This paper proposes a hybrid artificial bee colony optimizer (HABC) by restructuring the artificial bee colony system with life-cycle, Powell’s search and social learning. The proposed HABC based on life-cycle is a cooperative and varying-population model where the bee can switch its state periodically according to the local environmental landscape. Through this new characteristic, two significant merits of reducing redundant search and maintaining diversity of population can be obtained. In addition, with the social learning, the information exchange ability of the bees can be enhanced in the early exploration phase while the Powell’s method enables the bees to deeply exploit around the promising area, which provides an appropriate balance between exploration and exploitation. Then, eight basic benchmarks, seven CEC 2005 composite functions, and a real-world problem of RFID networks optimization are solved by HABC, successively. The experimental results validate the incorporated combinatorial strategies and demonstrate the performance superiority of HABC.

Keywords: Artificial bee colony algorithm; Life-cycle; Powell’s method; Crossover; RFID (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300314016373
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:252:y:2015:i:c:p:133-154

DOI: 10.1016/j.amc.2014.11.104

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().