Transportation Modeling: An Artificial Life Approach
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Ant Colony Optimization
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Journal of Global Optimization
Routing and wavelength assignment in all-optical networks based on the bee colony optimization
AI Communications - Network Analysis in Natural Sciences and Engineering
Computers and Operations Research
Scheduling independent tasks: Bee Colony Optimization approach
MED '09 Proceedings of the 2009 17th Mediterranean Conference on Control and Automation
Computers and Operations Research - Articles presented at the conference on routing and location (CORAL)
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
Expert Systems with Applications: An International Journal
Computers and Operations Research
Empirical study of the Bee Colony Optimization (BCO) algorithm
Expert Systems with Applications: An International Journal
An evolutionary image matching approach
Applied Soft Computing
Transit network design by Bee Colony Optimization
Expert Systems with Applications: An International Journal
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Bee colony optimization (BCO) is a relatively new meta-heuristic designed to deal with hard combinatorial optimization problems. It is biologically inspired method that explores collective intelligence applied by the honey bees during nectar collecting process. In this paper we apply BCO to the p-center problem in the case of symmetric distance matrix. On the contrary to the constructive variant of the BCO algorithm used in recent literature, we propose variant of BCO based on the improvement concept (BCOi). The BCOi has not been significantly used in the relevant BCO literature so far. In this paper it is proved that BCOi can be a very useful concept for solving difficult combinatorial problems. The numerical experiments performed on well-known benchmark problems show that the BCOi is competitive with other methods and it can generate high-quality solutions within negligible CPU times.