Combined chaotic genetic algorithm for resource allocation

A combination of chaos and genetic algorithm technology, applied in the field of combined chaos genetic algorithm for resource allocation, can solve the problems of algorithm search space expansion, improper penalty function selection, low search efficiency, etc., to improve population quality, avoid premature convergence, and improve Effects of Global Search Capability and Computational Efficiency

Inactive Publication Date: 2019-02-12
ARMY ENG UNIV OF PLA
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Problems solved by technology

Although this method of operation is simple, it cannot reflect the specific knowledge of the problem well. When encountering a large-scale WTA problem, the penalty function is improperly selected, the search space of the algorithm is greatly expanded

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  • Combined chaotic genetic algorithm for resource allocation
  • Combined chaotic genetic algorithm for resource allocation
  • Combined chaotic genetic algorithm for resource allocation

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Embodiment

[0106] The WTA problem, that is, the weapon target allocation problem, is a typical resource allocation problem. It studies how to allocate existing weapons for multiple threat targets, so as to eliminate the enemy's threat to the greatest extent and achieve the best combat effect. The WTA problem can be described as follows: Suppose the enemy has T threat targets to attack us, and we have W weapons to fight back, x ij Indicates the quantity of the i-type weapon that counterattacks the j-th threatening target, and the combatant needs to determine a better attack allocation plan in time according to the battlefield situation X=(x ij ), i=1,2,...,W; j=1,2,...T, such as figure 2 shown.

[0107] The model of the WTA problem mainly depends on the selection of the objective function and the determination of the constraints. To model the weapon target assignment problem, first define the following notation:

[0108] W: the number of types of weapons; T: the number of targets to b...

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Abstract

The invention discloses a combined chaotic genetic algorithm for resource allocation. The algorithm is characterized by firstly setting parameters and initializing each parameter, and definging the population gen=0; according to the specific resource allocation problem, generating a chaotic sequence, and then generating the initial population based on the chaotic sequence according to the scale ofthe specific resource allocation problem; judging whether gen is greater than max_gen, if gen is greater thanmax_gen, stopping the calculation flow and outputting the calculation result; otherwise, defining gen to be gen+1, sequentially carrying out the breeding operation, the hybridization operation and the mutation operation; then using the local search heuristic method to search for the best chromosomes in the population and preserving the best chromosomes in the population; then generating the next chaotic sequence for the next computation, after the calculation is completed, outputting the calculation result. The combined chaotic genetic algorithm of the invention effectively reduces the constraint number of the resource allocation model, improves the population quality, acceleratesthe convergence speed, and improves the global searching ability and the computational efficiency of the algorithm.

Description

technical field [0001] The invention relates to the technical field of weapon-target allocation, in particular to a combined chaotic genetic algorithm oriented to resource allocation. Background technique [0002] The problem of resource allocation refers to that under the premise of satisfying resource constraints, decision makers allocate resources to users reasonably, so that the total effect of resource allocation is optimal. The contradiction between the limited resources and the rapid increase in the number of users and the continuous improvement of people's requirements for service quality has become increasingly prominent. Whether the limited resources can be scientifically managed and allocated has become a bottleneck for the effective implementation of advanced technologies. It is a key scientific and technological problem that urgently needs to be solved in the national economic and social development. [0003] The WTA problem, that is, the weapon target allocati...

Claims

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Application Information

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IPC IPC(8): G06N3/12H04L9/00
CPCG06N3/126H04L9/001
Inventor 王磊姚昌华贾永兴潘晨徐煜华余晓晗张广纯张晓博吴文相
Owner ARMY ENG UNIV OF PLA
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