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Population dynamics optimization method with vertical-structure nutrition chains

A technology of vertical structure and optimization method, applied in biological models, instruments, computational models, etc.

Inactive Publication Date: 2013-07-24
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

[0016] In order to solve the problems in the above-mentioned prior art, the object of the present invention is to provide a population dynamics optimization method with a vertical nutritional chain—PDO-NCVS algorithm. This algorithm has the characteristics of strong search ability and global convergence, and is complex The solution of function optimization problems, especially high-dimensional optimization problems, provides a solution

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  • Population dynamics optimization method with vertical-structure nutrition chains
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  • Population dynamics optimization method with vertical-structure nutrition chains

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[0197] The present invention will be further described in detail below in conjunction with specific implementation cases, which are explanations of the present invention rather than limitations.

[0198] (1) Determine the actual optimization problem to be solved, and transform the problem into the standard form described by formula (1).

[0199] (2) If the actual optimization problem is to find max f(X), change it to min-f(X).

[0200] (3) Compress and adjust all the variable intervals of the actual optimization problem, namely

[0201] if 0≤x i ≤a i , a i ≥0, i=1, 2, ..., n, then set x i =a i the y i Substitute into the actual optimization problem, which makes the actual optimization problem change to be about the variable y i The optimization problem of , 0≤y i ≤1.

[0202] if-a i ≤x i ≤0, a i ≥0, i=1, 2, ..., n, then set x i =-a i the y i Substitute into the actual optimization problem, which makes the actual optimization problem change to be about the variab...

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Abstract

Disclosed is a population dynamics optimization method with vertical-structure nutrition chains. The population dynamics optimization method with the vertical-structure nutrition chains is a PDO-NCVS algorithm. A solution space of an optimization problem is regarded as an ecosystem which has three vertical-structure nutrition chain types of an opened nutrition chain, a closed nutrition chain and a branch nutrition chain, the ecosystem is divided into a plurality of different sub-systems, and each sub-system has a specific vertical-structure nutrition chain type. For each sub-system, a plurality of populations live in each sub-system. The populations can not be transmitted among the sub-systems, and information transfer exists in the kindred populations among the sub-systems which have the same vertical-structure nutrition chain types. The populations living in a sub-system are connected in a predator-prey circulating mode or in a resource-consumption circulating mode. Behaviors during a population acts in a sub-system are constructed into evolution operators which are used for constructing evolution strategies of the populations. The algorithm has the advantages of being strong in search capability and having global convergence, and a solution scheme is provided for the solution of a complex function optimization problem.

Description

technical field [0001] The invention relates to an intelligent optimization algorithm, in particular to a population dynamics optimization method with a vertical structure nutrition chain—PDO-NCVS algorithm. Background technique [0002] Consider general function optimization problems [0003] minf(X) [0004] s . t . g i ( X ) ≥ 0 , i = 1,2 , · · · , I h i ( ...

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Application Information

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IPC IPC(8): G06N3/00
Inventor 黄光球陆秋琴
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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