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Low-carbon garbage classified collection and transportation method and system based on improved brainstorm algorithm

A brainstorming and garbage sorting technology, applied in the field of low-carbon garbage sorting collection and transportation methods and systems, can solve problems such as inability to optimize garbage sorting collection and transportation paths, complex algorithms, etc.

Pending Publication Date: 2020-10-23
JIANGNAN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] For this reason, the technical problem to be solved by the present invention is to overcome the complexity of the algorithm in the prior art, and can not achieve the problem of optimizing the garbage classification collection and transportation path, thereby providing a simple algorithm, and can effectively improve the basis of optimizing the garbage classification collection and transportation path. Low-carbon waste classification collection and transportation method and system with improved brainstorming algorithm

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  • Low-carbon garbage classified collection and transportation method and system based on improved brainstorm algorithm
  • Low-carbon garbage classified collection and transportation method and system based on improved brainstorm algorithm
  • Low-carbon garbage classified collection and transportation method and system based on improved brainstorm algorithm

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Embodiment 1

[0030] like figure 1 As shown, this embodiment provides a low-carbon waste classification collection and transportation method based on the improved brainstorming algorithm, including the following steps: Step S1: According to the set constraints and the two defined objectives, a bi-objective optimization model is established, where the definition The two objectives are: to minimize the total vehicle mileage and to minimize carbon emissions; Step S2: use the improved brainstorming algorithm to solve the bi-objective optimization model, and provide the corresponding path planning scheme according to the Pareto solution after solving, Wherein the improved brainstorming algorithm is as follows: initializing the algorithm parameters, randomly generating the initial population; clustering the initial population, clustering the individuals with the same priority into one group; evaluating the individual, and selecting the optimal individual in each class as The center of this class;...

Embodiment 2

[0094] Based on the same inventive concept, this embodiment provides a low-carbon waste classification collection and transportation system based on the improved brainstorming algorithm. I won't repeat them here.

[0095] The low-carbon waste classification collection and transportation system based on the improved brainstorming algorithm described in this embodiment includes:

[0096] The modeling module is used to establish a bi-objective optimization model according to the set constraints and two defined goals, wherein the two defined goals are: minimizing the total vehicle mileage and minimizing carbon emissions;

[0097] The planning module is used to solve the bi-objective optimization model by using an improved brainstorming algorithm, and provide a corresponding path planning scheme according to the solved Pareto solution, wherein the improved brainstorming algorithm is: initialize algorithm parameters, randomly generate Initial population; cluster the initial populat...

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Abstract

The invention relates to a low-carbon garbage classified collection and transportation method and system based on an improved brain storm algorithm, and the method comprises the steps of building a double-target optimization model according to a set constraint condition and two defined targets; solving the dual-objective optimization model by adopting an improved brainstorm algorithm, and providing a corresponding path planning scheme according to the solved Pareto solution, the improved brainstorm algorithm comprising: initializing algorithm parameters, and randomly generating an initial population; clustering the initial population, and clustering the individuals with the same priority into one class; evaluating individuals, and selecting the optimal individual in each class as the center of the class; carrying out selection operation; and performing differential mutation operation on the selected individuals, updating the archiving set according to the domination relationship, and outputting path planning according to the updated archiving set. The invention is beneficial to effectively reducing the transportation cost and carbon emission.

Description

technical field [0001] The invention relates to the technical field of garbage collection and transportation, in particular to a low-carbon garbage classification collection and transportation method and system based on an improved brainstorming algorithm. Background technique [0002] With the rapid development of the economy and the improvement of the urbanization rate, the amount of municipal solid waste is increasing explosively, and the improvement of people's living standards has also made the types of waste more and more complex. According to incomplete statistics, the world generates tens of billions of tons of garbage every year, and only 15% of the garbage is recycled, and the rest of the garbage is disposed of by incineration or landfill, causing serious environmental pollution. Garbage classification can effectively improve this situation, maximize the utilization of garbage resources, reduce the amount of garbage disposal, and improve the living environment. Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N3/00
CPCG06Q10/047G06Q50/26G06N3/006
Inventor 浦徐进陆徐龙
Owner JIANGNAN UNIV
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