Research on Cross-Regional Emergency Scheduling and Allocating Strategies

Fan, Zhang; Gao, Yuan; Li, Yueli

doi:10.14257/ijgdc.2016.9.5.09

Cited by 8 publications

(11 citation statements)

References 2 publications

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“…To further verify the performance of the algorithms, the two algorithms proposed in the paper and the algorithm which proposed in the literature [20] and denoted as NCG are compared at the aspect of the average operation time when the number of agricultural machinery is 12 and the number of farmland is 6, 10, 15 and 30 The comparison results of the average operation time are lists in Table 6. Average operation time of NCG is denoted as AOT N CG , average operation time of SDF is denoted as AOT SDF , average operation time of MAF is denoted as AOT M AF .…”

Section: Comparison and Analysismentioning

confidence: 99%

“…Their agricultural machinery dispatching focuses on the coordination between harvested machinery and transportation vehicles [1,2,5,[10][11][12]. In domestic studies, agricultural machinery allocation scheme based on machine owners' selection is proposed, the optimization model with high income and low cost is established and agricultural machinery allocation algorithm based on heuristic priority rules is designed in the literature [20,21]. In order to meet the scheduling demand, the spatial-temporal scheduling model of agricultural machinery resources based on time window is constructed and the optimal solution of each decision are calculated by the idea of dynamic programming in the literature [16].…”

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confidence: 99%

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Multi-machine and multi-task emergency allocation algorithm based on precedence rules

Zhang¹,

Teng²,

Gao³

et al. 2019

Discrete &Amp; Continuous Dynamical Systems - S

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Aiming at the problems of asymmetric information and unreasonable emergency allocation schemes in the current cross-regional emergency operation, the emergency deployment process of multi-machine and multi-task is analyzed, and the emergency allocation model with the goal of minimizing the allocation cost and loss is established in the paper. Emergency allocation algorithm based on rule of nearest-distance-first, which allocate machinery for the nearest farmland firstly, and emergency allocation algorithm based on rule of max-ability-first, by which machinery with maximum ability to farmland is allocated firstly, are proposed. The operational data of farmland and agricultural machinery generated randomly are calculated and analyzed. The results show that when the amount of agricultural machinery is sufficient, the algorithm based on the maximum contribution capacity priority is better. When the agricultural machinery is insufficient, the calculation results of the emergency allocation algorithm based on the nearest distance priority are better. When the number of farmland is not more than 30, the average operation time of the two algorithms in this paper is not more than 3.8 seconds, and both two algorithm have good performance.

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Section: Comparison and Analysismentioning

confidence: 99%

mentioning

confidence: 99%

Multi-machine and multi-task emergency allocation algorithm based on precedence rules

Zhang¹,

Teng²,

Gao³

et al. 2019

Discrete &Amp; Continuous Dynamical Systems - S

Self Cite

View full text Add to dashboard Cite

show abstract

“…The scheduling sequence of ALG 2 is shown in Figure. The scheduling result of ALG 3 is shown in Figure. The scheduling and allocating schemes are obtained by three algorithms and evaluated by fuzzy analytic hierarchy process according to different scheduling and allocating targets [13] . The comparison results are listed in the Table 4.…”

Section: Figure 1 Flow Diagram Of Scheduling and Allocating Scheme Bmentioning

confidence: 99%

Research on Search-Based Scheduling and Allocating Algorithm

Zhang¹,

Li²,

Chen³

2016

IJGDC

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“…Zhang Fan [3,4] studied the heuristic precedence rule based on the agricultural machinery dispatching algorithm, systematically studied the theory and method of agricultural machinery deployment. Cao Mengru et al [5] studied the design and construction of the remote monitoring and dispatching platform of agricultural machinery based on Android, and designed and realized the remote monitoring and dispatching platform of agricultural machinery based on Android to meet the needs of farmers' "anytime, anywhere," to view agricultural information.…”

Section: Introductionmentioning

confidence: 99%

Multi Objective Intelligent Allocation Algorithm for Agricultural Machinery

Li¹,

Teng²,

Fan³

2017

dtetr

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Abstract. Aiming at the problem of non-scientific and rational allocation of agricultural land in China's agricultural machinery, this paper proposes a multi objective intelligent allocation algorithm (MAA), and establishes an optimization model with the optimal income as the goal. MAA algorithm is based on the idea of deep search and dynamic planning, according to natural factors such as weather, road conditions, location, agricultural machinery factors such as the master subjective factors, machine capacity, farmland factors such as operating prices, operating time windows and other constraints, generates multiple set of job paths sorted by earnings. Finally, the simulation results show that the MAA algorithm can provide the global optimal scheme of the job path for the owner, and the average performance of the MAA algorithm are increased by 32% compared with the general allocation algorithm (GAA), which can effectively to solve the current agricultural equipment deployment problem.

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Research on Cross-Regional Emergency Scheduling and Allocating Strategies

Abstract: Abstract

Cited by 8 publications

References 2 publications

Multi-machine and multi-task emergency allocation algorithm based on precedence rules

Multi-machine and multi-task emergency allocation algorithm based on precedence rules

Research on Search-Based Scheduling and Allocating Algorithm

Multi Objective Intelligent Allocation Algorithm for Agricultural Machinery

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