Honey Bee Social Foraging Algorithms for Resource Allocation, Part I: Algorithm and Theory
| dc.contributor.author | Nicanor Quijano | |
| dc.contributor.author | Kevin M. Passino | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T14:43:17Z | |
| dc.date.available | 2026-03-22T14:43:17Z | |
| dc.date.issued | 2007 | |
| dc.description | Citaciones: 34 | |
| dc.description.abstract | A model of honey bee social foraging is introduced to create an algorithm that solves a class of optimal resource allocation problems. We prove that if several such algorithms compete in the same problem domain, the strategy they use is a special type of evolutionarily stable strategy. Moreover, for a single or multiple hives we prove that an ideal free distribution is achieved, and that the allocation strategy is globally optimal. In the companion paper [Quijano, N., et al., 2007] we illustrate the practical utility of these results via a multizone temperature control experiment. | |
| dc.identifier.doi | 10.1109/acc.2007.4282167 | |
| dc.identifier.uri | https://doi.org/10.1109/acc.2007.4282167 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/48157 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers | |
| dc.relation.ispartof | Proceedings of the ... American Control Conference/Proceedings of the American Control Conference | |
| dc.source | Universidad de Los Andes | |
| dc.subject | Foraging | |
| dc.subject | Resource allocation | |
| dc.subject | Computer science | |
| dc.subject | Algorithm | |
| dc.subject | Ideal (ethics) | |
| dc.subject | Mathematical optimization | |
| dc.subject | Resource distribution | |
| dc.subject | Artificial bee colony algorithm | |
| dc.subject | Domain (mathematical analysis) | |
| dc.subject | Class (philosophy) | |
| dc.title | Honey Bee Social Foraging Algorithms for Resource Allocation, Part I: Algorithm and Theory | |
| dc.type | article |