Foundations of synergetics I: distributed active systems
Foundations of synergetics I: distributed active systems
Parameter Tuning for the Artificial Bee Colony Algorithm
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Solving Integer Programming Problems by Using Artificial Bee Colony Algorithm
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Solution of the inverse heat conduction problem by using the ABC algorithm
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Applied Soft Computing
Information Sciences: an International Journal
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
An artificial bee colony algorithm for the maximally diverse grouping problem
Information Sciences: an International Journal
A hybrid metaheuristic for the cyclic antibandwidth problem
Knowledge-Based Systems
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We have developed a model of foraging behaviour of a honeybee colony based on reaction-diffusion equations and have studied how communication in the hive determines this behaviour. The model utilizes two dominant components of colony's foraging behaviour - recruitment to and abandonment of the located food source. The foraging mechanism is based upon competition of employed foragers advertising their nectar sources for pool of unemployed foragers, which is analogous to competition of species for limited resource. For replenished food sources, when an unemployed forager follows all wagle dances (advertisements) to sample the strongest dance encountered, a common "labour market" is formed, which leads to rapid selection of the most profitable nectar source. Otherwise, when unemployed foragers quickly acquire information only about some parts of environment, different niches where individuals are associated mainly with a particular "job sites" are formed, and correspondent foraging trails coexist for a long period. Our results elucidate the role of natural clustering of the dances in the small area of the have - it has to facilitate the information flow that is beneficial for overall process of colony's food collection.