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January 1, 2026International Journal of Bio-Inspired Computation

A hybrid ACO Algorithm with SOS and 3-Opt for Solving Citrus Picking Sequence planning

Wenxuan Huang Yu Tang Zhiping Tan Huasheng Huang

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Key Points

This research aims to develop an efficient citrus picking sequence planning algorithm using a hybrid ACO approach.
Utilized a hybrid Ant Colony Optimization (ACO) algorithm incorporating SOS and 3-Opt techniques.
Focused on the optimization of citrus picking sequences.
Employed simulations to assess the algorithm's performance under various conditions.
The hybrid ACO algorithm outperformed traditional methods in minimizing total picking time.
Achieved an average improvement of 20% in sequence efficiency compared to standard ACO techniques.

Implication

Finds improved citrus picking sequence planning using a hybrid ACO algorithm, suggesting increased efficiency in agriculture.

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Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/6a11468748a409a3a49dfe9b https://doi.org/10.1504/ijbic.2026.10078602

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