融合生态扰动控制的森林采伐-运输多自标优化调度方法

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关键词：木材采运；路径调度；多目标优化；地表扰动；NSGA-ⅡI；生态约束；作业调度；智能林业 中图分类号： S785.1+7 文献标识码：A DOI：10.7525/j.issn.1006-8023.2025.06.019

Multi-Objective Scheduling Optimization for Forest Harvesting and Transportation with Integrated Ecological Disturbance Control

HAN Dongtao 1，2，3 ，MAYuewei 3，4* （20

（1.HulunbuirUniversity，HulunburOOoo，China;.EngineringResearchCenterforteSfeExploitationandComprsie

UtilizationofMieralResouresatUniversitiesofInnerMongoliaAutonomousRegion，HulunbuirOooo，China;3.heSolof

Technology，einFrestryUniversityeiO，in;4.KeyaboratoryfFrestryqupmetdutoatiotiol Forestry and Grassland Administration，Beijing1Ooo83，China）

Abstract：In forestharvesting operations，transportation routing andtask schedulingare highlycoupled.Traditional single-objectiveoptimization approachesoften fail to balanceoperational eficiencywith ecological impact.This study proposesamulti-objective scheduling method integrating ecologicaldisturbancecontrolforcoordinatedoptimizationof harvesting andtransportation.Amulti-objective model isdeveloped tominimize totaltransportation distance，makespan，and surface disturbance.Road-level disturbance coeficients and regional sensitivity factors are prominently introduced forrefined assessmentof surface disturbance.An improved non-dominated sorting genetic algorithmI（NSGAI）is mployed，utilizing specific encoding and evolutionary strategies for multi-objectiveoptimization.Simulationresults show that the proposed method reduces transportation distance by approximately 14. 3% and surface disturbance by nearly 32% compared to greedy and ACO-based algorithms，while maintaining comparable completion times.The multiobjectivecompromise solutiondemonstrates superior to singleobjectiveextremesolutions interms of the balance of three indicators.The method efectively reduces environmental disturbancewithout significantlysacrificing eficiency， achieves efcientcoordination between scheduling optimizationofforest harvesting tasksand ecological control，and is suitable for smart forestry scheduling scenarios under ecologicalconstraints and showcasing strong potential forpracticalapplication.

KeyWords：Timber harvesting and transportation；routing and scheduling；multi-objective optimization；surface disturbance; NSGA- II ； ecological constraints; task scheduling； smart forestry

0 引言

森林采伐与木材运输是林业生产中至关重要的环节，其决策优化直接影响森林经营的经济效益和生态影响[1]。（剩余16052字）