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Artificial immunity intelligent optimization system facing geographical space optimization

An artificial immunization and intelligent optimization technology, applied in the field of geographic information science, can solve the problems of versatility, scalability and user customization that need to be strengthened

Active Publication Date: 2012-10-10
WUHAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

For the solution of space optimization problems, the system currently only provides ant colony optimization algorithms for site selection and route selection problems
Compared with complex spatial optimization problems and various types of geospatial optimization problems, the generality, scalability and user-customizable functions of the system need to be strengthened

Method used

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  • Artificial immunity intelligent optimization system facing geographical space optimization
  • Artificial immunity intelligent optimization system facing geographical space optimization
  • Artificial immunity intelligent optimization system facing geographical space optimization

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Embodiment Construction

[0026] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0027] The invention provides an artificial immune intelligent optimization system oriented to geographical space optimization, which uses a clone selection algorithm in the artificial immune system to solve the geographical space optimization problem.

[0028] The artificial immune system (Artificial Immune System, AIS) is a general term for intelligent algorithms developed by simulating various principles and mechanisms of biological immune systems (mainly the immune system of the human body). It mainly includes negative selection algorithm (Negative Selection Algorithm, NSA) based on negative selection principle, clone selection algorithm (Clonal Selection Algorithm, CSA) based on clonal selection principle, and immune network model (Artificial Immune Network) based on immune learning mechanism, etc.

[0029] The clonal selection algor...

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Abstract

The invention relates to an artificial immunity intelligent optimization system facing the geographical space optimization, which comprises an immune operator library, a problem application library and an application platform module. The immune operator library is used for storing immune operator plugins; the problem application library is used for storing application plugins for solving the space optimization problem; the application platform module is used for calling the corresponding immune operator plugins from the immune operator library according to the selection of a user to determine a clonal selection algorithm and calling the corresponding application plugins from the problem application library to determine an antibody code and an affinity evaluation function of the specific space optimization problem to be solved of the user; and according to the determined antibody code and affinity evaluation function, the optimal solution of the specific space optimization problem to be solved of the user is acquired by the clonal selection algorithm. The artificial immunity intelligent optimization system provided by the invention can integrate the clonal selection algorithm which is currently and most widely used in the field of geoscience, and has universality, expandability and openness.

Description

technical field [0001] The invention belongs to the technical field of geographical information science, in particular to an artificial immune intelligence optimization system oriented to geographical space optimization. Background technique [0002] Space optimization is the use of space search methods to obtain the optimal distribution of spatial entities under the constraints of certain constraints and specific goals (social, economic, ecological goals, etc.). Many complex spatial problems in the field of geography research can ultimately be attributed to space optimization problems, such as facility location (parks, hospitals, large supermarkets, etc.), route optimization (logistics distribution path optimization, etc.), resource and environment monitoring network optimization. (disease, air pollution, spatial location layout of water pollution monitoring stations, etc.), optimal allocation of resources (optimized allocation of water resources and land resources, etc.). ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 刘耀林赵翔刘艳芳刘殿锋汤弟伟唐巍
Owner WUHAN UNIV
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