Bee colony optimization
The bee colony optimization algorithm is inspired by the behaviour of a honey bee colony in nectar collection. This biologically inspired approach is currently being employed to solve some combinatorial optimization problems such as job shop scheduling, internet server optimization problem, travelling salesman problem, etc.
Overview
Application to Operation Research and Related Domains
See Also
- Evolutionary Computation
- Ant Colony Optimization
- Swarm Intelligence
- Animal Communication
- Bee Learning and Communication
- Waggle Dance
- Honey Bee
Publications (Selected)
- Nakrani, S. and C. Tovey, "On Honey Bees and Dynamic Server Allocation in Internet Hosting Centers". Adaptive Behaviour, 2004. 12(3-4):pp.223-240.
- C. Tovey, "The Honey Bee Algorithm: A Biological Inspired Approach to Internet Server Optimization". Engineering Enterprise, the Alumni Magazine for ISyE at Georgia Institute of Technology, Spring 2004, pp.13-15.
- Yang, X.S., "Engineering Optimizations Via Nature-Inspired Virtual Bee Algorithms". Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach, LECTURE NOTES IN COMPUTER SCIENCE 3562:2005, pp.317-323 , Springer Berlin / Heidelberg.
- Chong Chin Soon, Malcolm Yoke Hean Low, Appa Iyer Sivakumar and Kheng Leng Gay, "A Bee Colony Optimization Algorithm to Job Shop Scheduling", In Proceedings of the 2006 Winter Simulation Conference, pp. 1954-1961, December 3-6, 2006, Monterey, CA USA.