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Multi-scale quantum harmonic oscillator optimization system and method

An optimization method, a technology of harmonic oscillators, applied in the fields of science, economy, computational intelligence, and industry, which can solve the problems of insufficient iteration, too many sampling points, premature convergence, etc.

Inactive Publication Date: 2016-07-20
SOUTHWEST UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

This global comparison method needs to compare a large number of sampling points each time, cannot achieve high-dimensional optimization, and is prone to premature convergence due to insufficient iterations

Method used

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  • Multi-scale quantum harmonic oscillator optimization system and method
  • Multi-scale quantum harmonic oscillator optimization system and method
  • Multi-scale quantum harmonic oscillator optimization system and method

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Embodiment Construction

[0038]The present invention will be described in further detail below through specific implementation examples and in conjunction with the accompanying drawings.

[0039] figure 1 It shows the multi-scale quantum harmonic oscillator optimization system structure of the present invention, the system includes: sampling module, basic iteration module, standard deviation calculation module, energy level convergence control module, energy level drop replacement module, quantum harmonic oscillator iterative convergence control module, A scale reduction module and a multiscale convergence control module.

[0040] Within the function domain, the sampling module controls random generation of k Gaussian sampling points x i , and calculate x i The standard deviation σ′ of k ; the σ' k Save the last k Gaussian sampling points x i The standard deviation of 1≤i≤k. The basic iterative module for k center positions x i respectively control the Gaussian distribution N(x i ,σ s ) to ge...

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Abstract

The invention relates to the field of computational intelligence, and relates to a multi-scale quantum harmonic oscillator concurrent optimization system and method. The method in the invention is composed of three embedded iteration processes: scale iteration, quantum harmonic oscillator iteration and energy level iteration. By adopting the method provided by the invention, sampling points to be compared at each time are fewer and are easier to fully iterate, so the result is accurate. According to the concurrency of the multi-scale quantum harmonic oscillator multimode optimization method, the Multi-scale quantum harmonic oscillator concurrent optimization method is proposed, and the method can be concurrently operated on a cluster. By adopting the concurrent method, the operational speed is effectively accelerated.

Description

technical field [0001] The present invention relates to the field of computational intelligence, in particular to a multi-scale quantum harmonic oscillator optimization system and method, which can be widely used in the fields of industry, economy, science and the like. Background technique [0002] The multi-scale quantum harmonic oscillator optimization method is a computational intelligence method to solve the single-peak global optimization problem constructed by using the probability interpretation of the quantum harmonic oscillator wave function. [0003] The existing multi-scale quantum harmonic oscillator optimization method performs global comparison and update during iteration, and each iteration needs to complete the global comparison of k×m sampling points. This global comparison method needs to compare a large number of sampling points each time, cannot achieve high-dimensional optimization, and is prone to premature convergence due to insufficient iterations. ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F17/15G06F30/00
Inventor 王鹏谢千河
Owner SOUTHWEST UNIVERSITY FOR NATIONALITIES
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