Keyword optimization classification method based on fuzzy genetic algorithm

Abstract

The invention discloses a keyword optimization classification method based on a fuzzy genetic algorithm, comprising the steps of: (1) randomly assorting units to be optimized into each island, and initializing the N units to be different units in each island; (2) selecting the units which simultaneously participate the internal genetic operation of the island and transfer to other islands; (3) crossing the units selected by the step (2); (4) performing nonuniform mutation operation to all units in each island; (5) calculating assessed values for all units in each island; (6) searching local area for the units in each island; and (7) selecting the units in each island, and judging whether the assessed value satisfies optimization rules and then judging whether repeating the abovementioned steps. According to the method, the problem of solving large-scale engineering can be solved, the intelligence is high, the optimization algorithm is clear and simple, and the optimization accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of engineering information, and relates to a classification optimization method, in particular to a keyword classification optimization method based on a fuzzy genetic algorithm. Background technique [0002] With the needs of the development of modern science and technology, the rapid development of optimization methods has been promoted, and soon penetrated into various fields. In the 1970s, optimization methods began to produce branches such as optimal design, optimal control, and optimal management. By the 1980s, new and finer branches were developed in these branches: mechanical optimization design in the field of engineering technology, optimization design of building structures, and optimization design in the field of chemical petroleum. In all kinds of scientific research and engineering practice, there are many difficult combinatorial optimization problems and complex scheduling decision-making pro...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a keyword classification optimization method based on fuzzy genetic algorithm with intelligent features suitable for large-scale problems, which can be applied to mechanical optimization design in the field of engineering technology , building structure optimization design, and optimization design in the field of chemical petroleum, which have positive effects on technical issues such as object attribute parameters and resource scheduling decisions in building structure optimization design, and can better solve parameter weights in mechanical optimization design Parameter optimization technical problems such as sensitive selection and difficulty in finding the optimal weight value, as well as multi-objective combination optimization of process models in the optimization design of the chemical and petroleum field, complex scheduling decisions, etc.

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