Hive selection of eusocial bees based on optimal foraging using the modified artificial bee colony algorithm.

Date

4-2010

Degree

Bachelor of Science in Applied Physics

College

College of Arts and Sciences (CAS)

Adviser/Committee Chair

Marvin U. Herrera

Co-adviser

Cleofas R. Cervancia

Abstract

The Artificial Bee Colony (ABC) Algorithm was modified and used to simulate a model for the hive selection of eusocial bees based on optimal foraging. The algorithm was used to find the optimum position of one or more hives of bees with a defined foraging decision based on optimal energy gain given a patched distribution of food sources. The model was subjected to: (a) constrained and unconstrained food sources on a random and patched food source distribution, (b) different number of hives, (c) different carrying capacities, (d) different foraging cycles, (e) and different distribution sizes. The model computed the best position of the hive for constrained and unconstrained food sources on random and patched distributions. The best positions of the hive on random distributions were not confined on a specific area for both constrained and unconstrained food sources. The best positions of the hive on a patched distribution were also not confined on a specific area for unconstrained food sources, but were clustered within the biggest patch when the food sources were constrained. The positions of the best hive in a patched distribution also shifted to other smaller patches when the number of hives was increased. The best positions of the hive were independent of the carrying capacities of bees, the number of foraging cycles, and the size of the food source distribution.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

Thesis

Document Type

Thesis

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