A Geographic Cellular Automata Transformation Rule Acquisition Method Based on Bee Colony Intelligence
A technology of cellular automata and acquisition methods, applied in the field of geographical cellular automata acquisition, can solve problems such as unclear physical meaning, difficulty in determining model structure and parameters, and slow intelligent convergence speed
Inactive Publication Date: 2015-08-05
NANJING NORMAL UNIVERSITY
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Problems solved by technology
[0003] In order to solve the problems of unclear physical meaning and difficulty in determining the model structure and parameters in the traditional cellular automata conversion rule acquisition method, overcome the existing disadvantages of slow convergence of swarm intelligence and easy to fall into local optimum
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[0017] The technical solutions in the examples of the present invention are clearly and completely described below. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0018] The present invention is based on a mining method of bee colony intelligent geographical cellular automata conversion rules, such as figure 1 shown, including the following steps:
[0019] (1) Obtain the change types of geographic phenomena from the geographic data of the two periods;
[0020] (2) Obtain training samples and test samples by means of random sampling according to the type of change;
[0021] (3) For each change type, carry out rule mining according to the following process:
[0022] ① Set the relevant parameters of t...
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The invention discloses a geo-cellular automata transformational rule acquisition method based on the swarm intelligence, and belongs to the field of the computer analogue simulation. By aiming at the problems of weak globally optimal solution search capability and big possibility of entrapping in local optimum of the traditional geo-cellular automata transformational rule acquisition method based on the swarm intelligence, the invention provides a new geo-cellular automata transformational rule acquisition method based on the swarm intelligence. According to the method, a swam intelligence mining algorithm is used as a core, the acquisition of the geo-cellular automata transformational rule is used as a purpose, and rule search is carried out in a multidimensional attribute space in a swarm intelligent search mode so as to generate a geo-cellular automata transformational rule document. The geo-cellular automata transformational rule acquisition method based on the swarm intelligence is mainly used for intelligently digging the geo-cellular automata transformational rule, and the globally optimal solution search capability is improved.
Description
technical field [0001] The invention belongs to the field of computer simulation, in particular to a geographic cellular automata acquisition method. Background technique [0002] The conversion rule is the core of the cellular automata model, which is the expression of the logic relationship in the simulation process and determines the simulation result. At present, there have been a lot of research results on the acquisition of conversion rules, but they all have certain limitations. The method proposed by Clarke et al. to use visual judgment to obtain model parameter values is greatly affected by subjective factors, and its reliability is limited; the use of Analytic Hierarchy Process (AHP) to determine model parameter values and the method of linear logistic regression to extract conversion rules is simple and practical , but using a linear method to extract complex geographical phenomena is too simple, and it is difficult to accurately simulate complex geographical...
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IPC IPC(8): G06F9/455
Inventor 汤国安阳建逸曹敏胡迪
Owner NANJING NORMAL UNIVERSITY