A honey bee requirements design study based on multi-objective optimization

Authors

  • Wuxun Li
  • Yile Sun
  • Tongtong Liu
  • Yiwen Sun

DOI:

https://doi.org/10.56028/aetr.4.1.426.2023

Keywords:

Honeybee population prediction; Optimal allocation of the number of bee- hives; mathematical model; Multi-objective programming; Artificial bee colony algorithm.

Abstract

The honeybee is a major pollinating insect and plays a vital role in the ecological chain. Therefore, the correct prediction of honeybee population size and optimal beehive configuration is beneficial for developing long-term or phased management plans for bee colonies to obtain high yields of bee products. Through literature analysis, this paper chooses economic benefits and environmental effects as the multiple objectives of the model. The model is also constrained by the maximum number of bees pollinating and the minimum daily pollen consumption of bees to calculate the optimal number of beehives for a given area. In this paper, we adopt the multi-objective equal-weight processing and transform it into a single-objective approach, which is solved using the artificial bee colony algorithm. According to the final calculation, the optimal number of beehives for this area is 54.

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Published

2023-03-18