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运用蜜蜂算法优化马来西亚木材采运的木材运输规划。

Optimizing timber transportation planning for timber harvesting using bees algorithm in Malaysia.

机构信息

Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia.

Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Research Associates, Institute of Tropical Forestry and Forest Product (INTROP), 43400, UPM Serdang, Selangor, Malaysia.

出版信息

J Environ Manage. 2023 Aug 15;340:117977. doi: 10.1016/j.jenvman.2023.117977. Epub 2023 Apr 20.

Abstract

Suitable extraction technique and the least cost while reducing the environmental impact is the primary concern in timber transportation planning in undulate topography. Two types of extraction machines with unique characteristics to be applied in timber harvest area in Malaysia is combined for timber harvesting with the aim each machine will extract timber suitable to their ability. A Bees Algorithm (BA) was proposed to find an optimum TTP for timber extraction, forest road, and landing locations with grid cell-sized 10 m × 10 m and attributed with fixed and variable costs. The result shows the log fisher (1351 timbers) as a preferable extraction technique with total cost of RM 86,551.73 than the crawler tractor (206 timbers); the timber extraction route is 2630 m for the log fisher and 9860 m for the crawler tractor with total cost of RM 10,453.03. The model finds a suitable timber extraction technique and estimates the extraction costs. Further studies are required to compare the BA with other optimization methods for better results.

摘要

在起伏地形的木材运输规划中,合适的提取技术和最低成本同时减少对环境的影响是首要关注点。两种具有独特特点的采伐机在马来西亚的木材采伐区结合使用,旨在使每台机器都能采伐适合其能力的木材。提出了一种蜜蜂算法 (BA) 来寻找木材采伐、林道和着陆点的最优 TTP,网格单元大小为 10m×10m,并具有固定和可变成本。结果表明,与履带拖拉机(206 根)相比,原木捞取机(1351 根)作为一种更可取的提取技术,总成本为 86551.73 令吉;原木捞取机的木材提取路线为 2630 米,履带拖拉机为 9860 米,总成本为 10453.03 令吉。该模型找到了一种合适的木材提取技术,并估算了提取成本。需要进一步的研究来比较 BA 与其他优化方法,以获得更好的结果。

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