Application of Artificial Bee Colony Algorithm in Power Communication Network Routing Optimization Simulation
Abstract
References
Index Terms
- Application of Artificial Bee Colony Algorithm in Power Communication Network Routing Optimization Simulation
Recommendations
Development and investigation of efficient artificial bee colony algorithm for numerical function optimization
Artificial bee colony algorithm (ABC), which is inspired by the foraging behavior of honey bee swarm, is a biological-inspired optimization. It shows more effective than genetic algorithm (GA), particle swarm optimization (PSO) and ant colony ...
The continuous artificial bee colony algorithm for binary optimization
This paper introduces an ABC variant to solve binary optimization problems.The performance of the proposed method is investigated on well-known UFLPs.The proposed method is compared with the ABC variants and PSO variants.The experimental results show ...
Velocity based artificial bee colony algorithm for high dimensional continuous optimization problems
Artificial bee colony (ABC) is a swarm optimization algorithm which has been shown to be more effective than the other population based algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) and ant colony optimization (ACO). Since ...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 20Total Downloads
- Downloads (Last 12 months)20
- Downloads (Last 6 weeks)2
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format