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基于改進(jìn)混合蛙跳和GIS的城市垃圾車(chē)回收路徑優(yōu)化設計
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成都理工大學(xué)地球物理學(xué)院,成都理工大學(xué)地球物理學(xué)院

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TP393

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國家自然科學(xué)基金資助項目(51276113).


Design for Optimization of City Rubbish Collection Route Planning Based on Improved Compound Frog Hop and GIS
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Geophysics Institute, Chengdu University of Technology, Chengdu 610059,China,

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    摘要:

    針對城市生活垃圾由于回收不及時(shí)帶來(lái)的二次污染加劇和現有的垃圾回收路徑方案仍然成本過(guò)高的問(wèn)題,設計了一種基于GIS和改進(jìn)混合蛙跳算法的城市生活垃圾回收路徑設計方法。首先引入了基于GIS的回收路徑規劃模型,以最小化垃圾回收總路徑長(cháng)度、車(chē)輛總費用和懲罰成本為目標建立了城市生活垃圾回收路徑規劃的數學(xué)模型。然后,對基本混合蛙跳算法進(jìn)行了改進(jìn),提出了基于Tent映射和混沌擾動(dòng)的初始種群生成方式,將規劃的目標函數轉換為適應度函數,為了加快算法的收斂速度,設計了一種自定義距離度量方式以衡量解之間的差異,從而實(shí)現最差解的自適應更新,以實(shí)現全局最優(yōu),最后,定義了基于GIS和改進(jìn)混合蛙跳算法實(shí)現垃圾回收路徑規劃的具體算法。仿真實(shí)驗表明:文中設計的算法能有效地實(shí)現城市垃圾回收路徑規劃,較其它算法相比,具有收斂速度快和尋優(yōu)能力強的優(yōu)點(diǎn),是一種解決城市垃圾回收路徑規劃的可行方法。

    Abstract:

    Aiming at the city rubbish not in time collecting and the given rubbish collection route method still has high cost, a collection route design method based on GIS and improved shuffle frog leaping is proposed. Firstly, the collection route planning model is introduced, using minimizing the rubbish collection route distance, all the cost for vehicle, and punishment cost as the goals, the mathematical model for collection route planning is built. Then the classic shuffle frog leaping algorithm is improved, the initial population for frogs based on Tent and chaos interrupt is proposed, the goal function of planning is transformed to the fitness function. In order to improve the algorithm convergence effect, a distance measure method based on self-defined distance is designed to assure the distance between solutions, therefore, the worst solution can be renewed adaptively. Finally, the specific algorithm based on GIS and improved shuffle frog leaping algorithm to realize the rubbish collection route planning. The simulation experiment shows: the method in this paper can effectively realize the city rubbish collection, compared with the other methods, has the quick convergence rate and strong optimizing ability, therefore, it is a feasible method for solving the city rubbish collection problem.

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明勇,王華軍.基于改進(jìn)混合蛙跳和GIS的城市垃圾車(chē)回收路徑優(yōu)化設計計算機測量與控制[J].,2014,22(12).

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  • 收稿日期:2014-07-06
  • 最后修改日期:2014-08-01
  • 錄用日期:2014-08-05
  • 在線(xiàn)發(fā)布日期: 2014-12-10
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