Paper Info
Title
On the Analysis of Performance of the Improved Artificial-Bee-Colony Algorithm
Abstract
this paper introduces an improved artificial colony algorithm. In the algorithm, a new search iteration operator based on the fixed point theorem of Contractive Mapping in Banach Spaces is proposed. In this work, the improved artificial colony algorithm is used to 10 multivariable benchmark functions. The simulation results show that the algorithm possesses an excellent performance in the global optimization, and can be efficiently employed to solve the multimodal engineering problems with high dimensionality.
Year
DOI
Venue
2008
10.1109/ICNC.2008.211
ICNC
Keywords
Field
DocType
excellent performance,improved artificial colony algorithm,improved artificial-bee-colony algorithm,new search iteration operator,global optimization,banach spaces,high dimensionality,contractive mapping,multivariable benchmark function,multimodal engineering problem,fixed point theorem,mathematical model,indexes,optimization,algorithm design and analysis,artificial bee colony algorithm,swarm intelligence,banach space,benchmark testing,artificial intelligence
Artificial bee colony algorithm,Mathematical optimization,Algorithm design,Global optimization,Computer science,Swarm intelligence,FSA-Red Algorithm,Artificial intelligence,Population-based incremental learning,Machine learning,Fixed-point theorem,Difference-map algorithm
Conference
Citations 
PageRank 
References 
14
1.07
3
Authors
2
Name
Order
Citations
PageRank
Haiyan Quan1152.15
xinling shi27415.34