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Optimization algorithm for manufacturing enterprise logistics based on myxobacteria navigation

An optimization algorithm and slime mold technology, applied in two-dimensional position/channel control, non-electric variable control, control/regulation system, etc.

Pending Publication Date: 2021-11-02
ZHEJIANG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the technical problem of optimizing the design of the existing logistics path, the purpose of the present invention is to provide an optimization algorithm for manufacturing enterprise logistics based on slime mold navigation

Method used

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  • Optimization algorithm for manufacturing enterprise logistics based on myxobacteria navigation
  • Optimization algorithm for manufacturing enterprise logistics based on myxobacteria navigation
  • Optimization algorithm for manufacturing enterprise logistics based on myxobacteria navigation

Examples

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Embodiment 1

[0050]An optimization algorithm based on slime mold navigation for manufacturing enterprise logistics (the optimization algorithm and application technology roadmap for manufacturing enterprise logistics based on slime mold navigation figure 1 shown), including the following steps:

[0051] Step 1: Construct the slime mold culture environment, cultivate the slime mold protoplasts, and conduct multi-food source slime mold experiments. When the slime mold connects all food sources together through the feeding network, spread the protoplasts as much as possible on the plane. The feeding network is gradually formed during the spreading process, and the feeding network pipeline model for slime mold navigation optimization is obtained;

[0052] Step 2: Based on the positive feedback mechanism of slime mold navigation optimization, construct a slime mold navigation optimization algorithm, propose heuristic rules, and design a non-shortest path elimination model;

[0053] Step 3: Bas...

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Abstract

The invention discloses an optimization algorithm for manufacturing enterprise logistics based on colistia navigation. The optimization algorithm comprises the following steps: firstly, constructing a colistia culture environment, giving a positive feedback mechanism for colistia navigation optimization, constructing a colistia navigation optimization algorithm, proposing a heuristic rule, and designing a non-shortest path elimination model; and constructing a workshop secondary distribution problem model based on a myxus navigation optimization algorithm, designing a multi-objective function covering the minimum logistics quantity, the maximum area utilization rate and network cross congestion correction parameters, setting constraint conditions including boundary constraints and spacing constraints, and performing optimization processing for the material handling problem in a manufacturing enterprise logistics system. According to the method, a new intelligent bionic algorithm is provided based on the intelligent behavior of the myxobacteria, the method can effectively solve the problem of path optimization of the logistics system of the manufacturing enterprise, and the future logistics scheme of the enterprise can be predicted more accurately.

Description

technical field [0001] The invention belongs to the field of optimal design of logistics paths, and in particular relates to an optimization algorithm for manufacturing enterprise logistics based on slime mold navigation. Background technique [0002] The complexity of modern enterprise logistics makes most enterprises often consider artificial intelligence algorithms, heuristic algorithms and intelligent bionic algorithms when solving logistics system design problems. As the latest hotspot in the field of intelligent bionics, slime mold's route navigation and optimization capabilities are gradually being applied to the optimal design of logistics routes. The route network it designs has good performance in terms of cost, efficiency, and fault tolerance. The slime mold navigation optimization algorithm can be effectively applied and solve the routing optimization problem of the logistics system of manufacturing enterprises. At the same time, the algorithm still has some defe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/0214G05D1/0221
Inventor 陈勇段旭海姜一炜林渲皓邱洪斌俞飞扬王成裴植易文超张文珠
Owner ZHEJIANG UNIV OF TECH
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