Multi-population competitive multi-objective station location combination optimization method with protection region

A combined optimization and protected area technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of multi-target site positioning non-combined optimization, low dimensionality, large-scale multi-target site positioning combined optimization problems problems such as solving difficulties

Inactive Publication Date: 2016-11-16
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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  • Abstract
  • Description
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Problems solved by technology

[0023] To sum up, the existing technology can only solve the multi-objective site positioning non-combinatorial optimization problem with low dim

Method used

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  • Multi-population competitive multi-objective station location combination optimization method with protection region
  • Multi-population competitive multi-objective station location combination optimization method with protection region
  • Multi-population competitive multi-objective station location combination optimization method with protection region

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Experimental program
Comparison scheme
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Embodiment Construction

[0183] The present invention will be described in further detail below in conjunction with specific examples.

[0184] (1) Determine the actual optimization problem to be solved, and convert the problem into the standard form described by the multi-objective site positioning combination optimization model formula (1). Then, through the method of objective function weighting, the optimization model formula (1) is transformed into the standard form described by the single-objective site positioning combined optimization model (2).

[0185] (2) Determine the parameters of the MOSLO_PZPMD method according to the method described in Table 1.

[0186] (3) Run the MOSLO_PZPMD method to solve.

[0187] (4) For the following practical optimization problems, find the global optimal solution when n=100, 200, 400, 600, 800, 1000, 1200.

[0188] min{f 1 (X), f 2 (X)}

[0189] s.t.-10≤x i ≤10, i=1,2,...,n-3; x n-2 +x n-1 +x n ≥1;x n-2 , x n-1 , x n = 0 or 1

[0190] ...

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Abstract

The invention discloses a multi-population competitive multi-objective station location combination optimization method with a protection region. It is assumed that a plurality of biological populations live in an ecosystem. The ecosystem is divided into two regions of a non-protection region and a protection region. If the density of some populations in one region is overhigh, the populations will automatically migrate to the region with the relatively low density, and therefore, the populations living in the low density region will be influenced by the migrating populations; the greater the proportion of one population in all populations is, the greater the influence of the population on the ecosystem is; one population becomes stronger, the advantage of the population will be overflowed to the other populations; the populations in the regions compete with and influence on each other; if one population is continuously influenced by the other populations, the growth state of the population will be continuously changed; and through utilization of the changes and a protection region population migration model, the global optimum solution of a multi-objective station location combination optimization problem can be determined rapidly.

Description

technical field [0001] The invention relates to an intelligent optimization algorithm, in particular to a multi-group competition and multi-objective site positioning combination optimization method with a protected area. Background technique [0002] Consider the general form of multi-objective site positioning combination optimization model as follows: [0003] min { O 1 f 1 ( X ) , O 2 f 2 ( X ) , ... ...

Claims

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Application Information

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IPC IPC(8): G06F19/12
CPCG16B5/00
Inventor 黄光球陆秋琴
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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