Evolutionary optimization method and system for e-government affair performance assessment management
A technology of e-government and optimization method, which is applied in the field of e-government management, can solve problems such as difficult to efficiently push assessment tasks and optimize assessment and scoring order services, and achieve the effect of efficient and intelligent operation
Pending Publication Date: 2021-10-08
昆山翦统智能科技有限公司
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[0005] The purpose of the present invention is to provide an evolutionary optimization method and system for e-government performance appraisal management, so as to solve the problem that the existing e-government software is difficult to efficiently push the appraisal tasks and optimize the evaluation and scoring sequence services
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[0021] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.
[0022] Apparently, the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0023] In addition, the technical features involved in the different embodiments of the present invention...
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The invention discloses an evolutionary optimization method for e-government affair performance assessment management. The evolutionary optimization method comprises the following steps: constructing a chromosome formalized random vector initial population of e-government affair performance assessment indexes; calculating a fitness function value according to the scoring completion condition, the importance weight and the special priority set values of the e-government affair performance assessment indexes; sequencing the chromosome vectors of the e-government affair performance assessment indexes according to the fitness function value, and judging whether the optimal chromosome vector meets an optimization target or not; if the optimal chromosome vector meets the optimization target, ending the algorithm; otherwise, generating a new chromosome vector through the mutation operation of the chromosome vector and the crossover operation between the two chromosome vectors, adding the new chromosome vector into the current population, and calculating the fitness function value of the new chromosome vector, sorting all chromosome vectors of the current population according to the fitness function value, and eliminating the last chromosome vector; judging whether the optimal chromosome vector meets an optimization target or not, and if the optimal chromosome vector meets the optimization target, ending the algorithm; otherwise, carrying out iterative evolutionary optimization again through the mutation operation and the crossover operation until the optimal chromosome vector meets the optimization target. The method can promote efficiency improvement and intelligence of e-government performance assessment management.
Description
technical field [0001] The invention relates to the technical field of e-government management, in particular to an evolutionary optimization method and system for e-government performance evaluation management. Background technique [0002] Since e-government performance appraisal management has strong professionalism, policy variability, unknown and space-time constraints, its on-site management labor costs are high, and there are many uncertain factors, so the efficient push assessment tasks of e-government performance appraisal management It has always been a difficult point to optimize the scoring order of the assessment. [0003] Most of the traditional e-government services cannot efficiently push the assessment tasks and optimize the assessment scoring sequence of the e-government performance assessment management. It is a non-bionic conventional programming method. Its intelligence, calculation scheme and scoring time need to be optimized, and it is impossible to im...
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Login to View More IPC IPC(8): G06Q10/06G06Q10/10G06N3/12
CPCG06Q10/06393G06Q10/10G06N3/126
Inventor 龚涛熊琴姚冰
Owner 昆山翦统智能科技有限公司