Discrete binary particle swarm optimization algorithm and fuzzy control coupled hybrid operation optimization control method

A particle swarm algorithm, discrete binary technology, applied in computing models, calculations, biological models, etc., can solve the problems that traditional particle swarm algorithms cannot be promoted with constraints

Inactive Publication Date: 2019-03-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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Problems solved by technology

Moreover, the traditional particle swarm optimization algorith

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  • Discrete binary particle swarm optimization algorithm and fuzzy control coupled hybrid operation optimization control method
  • Discrete binary particle swarm optimization algorithm and fuzzy control coupled hybrid operation optimization control method
  • Discrete binary particle swarm optimization algorithm and fuzzy control coupled hybrid operation optimization control method

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[0011] In order to make the purpose and technical solution of the present invention clearer, the present invention will be further described in detail below.

[0012] In the particle swarm optimization algorithm, each particle initially searches randomly in a given space, all particles have an fitness value determined by the optimized function, and each particle has a speed that determines their flying direction and distance. However, in each iteration, the particle updates itself by tracking two "extrema". The first one is the optimal solution found by the particle itself, which is called the individual extremum. Another extremum is the optimal solution currently found by the entire population, and this extremum is the global extremum. In addition, instead of the whole population, only a part of it can be used as the neighbor of the particle, then the extremum among all the neighbors is the local extremum.

[0013] Compared with the traditional particle swarm optimization a...

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Abstract

The invention aims to provide a discrete binary particle swarm optimization algorithm and fuzzy control coupled hybrid operation optimization control method. By adopting the method, the traditional single optimization algorithm is improved in solving the optimal problem with constraint conditions, the discrete binary particle swarm optimization algorithm and fuzzy control are subjected to couplingoperation, and a coupling relation exists between input and output of the two algorithms, so that the two algorithms in each step length are compatible. The algorithm inherits the characteristic of high robustness of the fuzzy algorithm, and also inherits the advantages of the traditional particle swarm algorithm in the aspect of the optimization effect.

Description

technical field [0001] The invention provides a hybrid operation optimization control method coupled with discrete binary particle swarm algorithm and fuzzy control, which belongs to the field of algorithms for solving optimal problems. Background technique [0002] Each of us will encounter a variety of optimization problems in our life or work, such as a problem that every enterprise and individual must consider "how to maximize profits at a certain cost" and so on. The optimization method is a mathematical method, which is a general term for some disciplines that study how to seek certain factors (quantity) under given constraints to make a certain (or some) indicators optimal. With the deepening of learning, people are increasingly discovering the importance of optimization methods. Most of the problems encountered in learning and work can be modeled as an optimization model for solution. For example, the machine learning algorithms we are learning now, most of them ...

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Application Information

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IPC IPC(8): G06N3/00
CPCG06N3/006
Inventor 尹忠东谢呵呵
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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