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Journals / Sakarya University Journal of Science / 2022 / Cilt: 26 Sayı: 6

Investigation of The Effect of Feeding Period in Honey Bee Algorithm

Mustafa KAYA
Pages
1071–1083
Publication Date
2022-12-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, the analysis results showed that the performance of the artificial bee colony algorithm is very good while solving too complex engineering optimization problems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the study, it was investigated the ejaculation ability and semen quality of drones, according to feeding with pollen in different periods.
📊
Key Findings & Data:In the first step of the study, 16 %, 32 %, 47 %, 63 %, 79 %, and 100 % feeding periods were applied to the drones, for investigating the effect on ejaculation ability, and the semen quality of drones was investigated.
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Conclusion & Impact:As a result, the analysis results showed that the performance of the artificial bee colony algorithm is very good while solving too complex engineering optimization problems.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bee colony algorithm · feding period effect · knapsack problems

Abstract

In the study, it was investigated the ejaculation ability and semen quality of drones, according to feeding with pollen in different periods. In the first step of the study, 16 %, 32 %, 47 %, 63 %, 79 %, and 100 % feeding periods were applied to the drones, for investigating the effect on ejaculation ability, and the semen quality of drones was investigated. While investigating these feeding period effects “0-1”, bonded, and unbounded knapsack optimization problems were used. After the most effective feeding period was determined, this period was applied to the traveling salesman and liquid storage tank problems in the second step of the study. In the analysis of the traveling salesman problem, it was determined the shortest way between two cities. Analysis of the liquid storage tank problem, it was determined the minimum connector areas. As a result, the analysis results showed that the performance of the artificial bee colony algorithm is very good while solving too complex engineering optimization problems.

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Cite This Article

KAYA, M. (2022). Investigation of The Effect of Feeding Period in Honey Bee Algorithm. Sakarya University Journal of Science, Cilt: 26 Sayı: 6, 1071–1083. https://ajindex.com/articles/941677

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