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Harmonic group optimization method and application thereof

A group optimization and harmonic technology, applied in the harmonic group optimization method and its application field

Pending Publication Date: 2020-12-11
FOSHAN UNIVERSITY
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Problems solved by technology

However, UM a Always explore the undiscovered solution space, even if the best is close to the current solution [17-27,31,32], it may spend extra time to reach the best state

Method used

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  • Harmonic group optimization method and application thereof
  • Harmonic group optimization method and application thereof
  • Harmonic group optimization method and application thereof

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Embodiment Construction

[0142] The concept, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present disclosure. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0143] Simplified Swarm Optimization (SSO) overview:

[0144] The method of continuous SSO to deal with variables can be found in references [23-25].

[0145] On the basis of traditional SSO, a new continuous SSO is proposed. Thereafter, the conventional SSO is briefly introduced before proposing the new SSO proposed by the present disclosure.

[0146] Traditional (Discrete) SSO

[0147] Traditional (discrete) SSO is very effective in solving discrete (optimization) problems (discrete variables only) [17–21,32] or continuous problems with limited ...

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Abstract

The invention provides a harmonic group optimization method and an application thereof, and provides a new continuous SSO integrated univariate updating mechanism UM1 and a new harmonic step length strategy HSS to improve the continuous simplified group optimization SSO, and the UM1 and the HSS can balance the exploration and utilization capability of the continuous SSO in exploring a high-dimensional multivariable and multi-modal numerical continuous reference function; an updating mechanism UM1 only needs to update one variable, and the updating mechanism UM1 is completely different from thevariables in the SSO and does not need to update all the variables; in the UM1, the HSS enhances the utilization capacity by reducing the step length based on a harmonic sequence; numerical experiments are carried out on the 18 high-dimensional functions to confirm efficiency of the method provided by the invention. According to the method, the traditional ABC and SSO exploration and utilizationperformance is improved, a relatively excellent balance point is obtained between exploration and utilization, the application range is wide, and classification and prediction precision of the newly obtained big data supported by an artificial neural network, a vector machine and the like can be greatly improved.

Description

technical field [0001] The present disclosure relates to the technical field of soft computing application and big data processing, and in particular to a harmonic group optimization method and its application. Background technique [0002] There are always a large number of optimization problems in practical applications, such as green supply chain management, big data and network reliability issues. It is also common to apply small variations (e.g., integer variables, nonlinear equations, and / or multiple objectives) to optimization models in practical real-world problems. However, even with only integer variables, these real-life problems become very difficult to solve, and are much more complex and gigantic to solve using traditional methods in acceptable time. Consequently, the focus of various recent studies has shifted to produce high-quality solutions using soft computing methods rather than exact solutions within acceptable execution times, see Refs. [1-26]. [000...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00
CPCG06N3/006
Inventor 郝志峰叶维彰刘翔宇王金海
Owner FOSHAN UNIVERSITY
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