Paper Info
Title
Integrating artificial bee colony and bees algorithm for solving numerical function optimization
Abstract
This work integrates artificial bee colony (ABC) and bees algorithm (BA) to develop a two bees (TB) algorithm. Agents of TB are stochastically assigned to ABC and BA sub-swarms in each iteration according to their fitness values. Consequently, the current healthier sub-swarm gains more agents to carry out its actions. Sub-swarm populations therefore vary ceaselessly during iterations, while either the ABC or BA sub-swarms may be superior to the other. Experiments are conducted on 23 benchmark functions. Results demonstrate that the TB performs better than or close to the ABC or BA winner. TB overcomes the poor performance of ABC and BA in handling particular problems.
Year
DOI
Venue
2014
10.1007/s00521-013-1528-2
Neural Computing and Applications
Keywords
DocType
Volume
artificial bee colony,two bees algorithm,optimization,bees algorithm,swarm intelligence
Journal
25
Issue
ISSN
Citations 
3-4
1433-3058
1
PageRank 
References 
Authors
0.35
25
1
Name
Order
Citations
PageRank
Hsing-Chih Tsai119114.26