CN-122022517-A - Optimal competition strategy determination method, device, equipment and medium based on parameter optimization model

CN122022517ACN 122022517 ACN122022517 ACN 122022517ACN-122022517-A

Abstract

The invention discloses a method, a device, equipment and a medium for determining an optimal competition strategy based on a parameter optimization model, which comprise the steps of obtaining an evaluation rule file corresponding to a target item, and carrying out structural analysis on the evaluation rule file to obtain a structural parameter set; determining an evaluation model to be optimized from an evaluation model library based on the structured parameter set, determining a target evaluation model according to the structured parameter set and the evaluation model to be optimized, determining strategy evaluation scores corresponding to all effective strategies in the effective strategy list based on the target evaluation model, and determining an optimal competition strategy according to the strategy evaluation scores and the parameter optimization model. The method comprises the steps of evaluating each effective strategy in an effective strategy list by adopting a target evaluation model, and carrying out iterative solution by adopting a parameter optimization model according to an evaluation result to obtain an optimal competition strategy, so that the evaluation efficiency of the strategy is improved, and optimizing the competition strategy according to the evaluation result, thereby realizing the maximization of the competition of the final competition strategy.

Inventors

CHEN ZHIPENG
LI BANG
WANG LINYAN
HAN YANLIANG
YANG BENFU

Assignees

南网数字运营软件科技(广东)有限公司

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. The optimal competition strategy determination method based on the parameter optimization model is characterized by comprising the following steps of: acquiring an evaluation rule file corresponding to a target item, and carrying out structural analysis on the evaluation rule file to obtain a structural parameter set; determining an evaluation model to be optimized from an evaluation model library based on the structured parameter set, and determining a target evaluation model according to the structured parameter set and the evaluation model to be optimized; Determining a strategy evaluation score corresponding to each effective strategy in the effective strategy list based on the target evaluation model; and determining the optimal competition strategy according to the strategy evaluation score and the parameter optimization model.
2. The method of claim 1, wherein the performing structural analysis on the evaluation rule file to obtain a structured parameter set comprises: Performing natural language analysis on the evaluation rule file, and determining key evaluation parameters corresponding to the evaluation rule file; And carrying out standardization processing on the key evaluation parameters to form a structured parameter set, wherein the structured parameter set comprises an evaluation calculation mode, a strategy evaluation value calculation mode, a participant screening proportion, an adjustment coefficient and a critical value parameter.
3. The method according to claim 1, wherein said determining a target evaluation model from said structured parameter set and said evaluation model to be optimized comprises: based on the evaluation calculation mode in the structured parameter set, matching a corresponding strategy evaluation model from the evaluation model library as an evaluation model to be optimized; And optimizing the adjustable parameters of the evaluation model to be optimized based on the constraint rules in the structured parameter set to obtain the target evaluation model.
4. The method of claim 1, further comprising, prior to determining a policy evaluation score corresponding to each active policy in the list of active policies based on the target evaluation model: Acquiring at least two initial strategies corresponding to the target item, and forming an initial strategy set according to the at least two initial strategies; Acquiring a participation object capacity score corresponding to each initial strategy in the initial strategy set; Determining a preset screening proportion from the structured parameter set, and screening the initial strategy set based on the object ability score and the preset screening proportion to determine a second strategy set; The list of active policies is determined based on the second set of policies.
5. The method of claim 4, wherein the determining the list of valid policies based on the second set of policies comprises: Extracting a parameter effective range from the structured parameter set, and acquiring strategy parameters corresponding to each initial strategy in the second strategy set; marking an initial strategy corresponding to the strategy parameter as an effective strategy under the condition that the strategy parameter is in the effective range of the parameter; Marking an initial policy corresponding to the policy parameter as an invalid policy when the policy parameter is not within the parameter valid range; and after the second policy set is traversed, determining the effective policy list based on the effective policies.
6. The method of claim 1, wherein determining a policy evaluation score corresponding to each active policy in the list of active policies based on the target evaluation model comprises: Invoking a reference parameter calculation engine of the target evaluation model, and determining reference evaluation parameters corresponding to each effective strategy according to the strategy parameters of each effective strategy; And calling a strategy evaluation score calculation engine of the target evaluation model, and determining strategy evaluation scores corresponding to all effective strategies based on the reference evaluation parameters, the strategy parameters and the adjustment coefficients of the parameter optimization model after adjustment.
7. The method of claim 6, wherein determining an optimal competition strategy based on the strategy evaluation score and a parameter optimization model comprises: Constructing an evaluation score data set based on the strategy evaluation scores and the reference evaluation parameters, and generating a strategy parameter distribution model according to project historical data; Invoking the parameter optimization model by taking the evaluation value data set and the strategy parameter distribution model as inputs, and constructing a target optimization function; and carrying out iterative solution based on the target optimization function and the parameter optimization model to determine the optimal competition strategy.
8. An optimal competition strategy determination device based on a parameter optimization model, which is characterized by comprising: The parameter extraction module is used for acquiring an evaluation rule file corresponding to the target item and carrying out structural analysis on the evaluation rule file to obtain a structural parameter set; The evaluation model determining module is used for determining an evaluation model to be optimized from an evaluation model library based on the structured parameter set, and determining a target evaluation model according to the structured parameter set and the evaluation model to be optimized; The evaluation score determining module is used for determining a strategy evaluation score corresponding to each effective strategy in the effective strategy list based on the target evaluation model; And the optimal competition strategy determining module is used for determining an optimal competition strategy according to the strategy evaluation score and the parameter optimization model.
9. An electronic device, the electronic device comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the parameter optimization model-based optimal competition strategy determination method of any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the parameter optimization model-based optimal competition strategy determination method of any one of claims 1-7 when executed.

Description

Optimal competition strategy determination method, device, equipment and medium based on parameter optimization model Technical Field The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a medium for determining an optimal competition strategy based on a parameter optimization model. Background In the decision making process of the project, different decisions need to be analyzed, evaluation scores corresponding to the decisions need to be determined, different decision making contents are distinguished, and a proper competition strategy is selected from a large number of decision making contents. However, the existing strategy analysis method adopts a fixed evaluation model or a calculation model to analyze and evaluate strategy contents, lacks real-time performance, cannot be dynamically adjusted, is difficult to update in real time, and cannot quickly respond if emergency occurs in the decision process, such as strategy parameter variation, so that the adaptability is poor in a complex decision scene, and the calculation efficiency and accuracy are limited. Disclosure of Invention The invention provides a method, a device, equipment and a medium for determining an optimal competition strategy based on a parameter optimization model, which are characterized in that each effective strategy in an effective strategy list is evaluated by adopting a target evaluation model, and the optimal competition strategy is obtained by adopting the parameter optimization model to carry out iterative solution according to an evaluation result, so that the evaluation efficiency of the strategy is improved, and the competition strategy is optimized according to the evaluation result, so that the final maximization of the competition strategy is realized. According to an aspect of the present invention, there is provided an optimal competition strategy determination method based on a parameter optimization model, including: acquiring an evaluation rule file corresponding to a target item, and carrying out structural analysis on the evaluation rule file to obtain a structural parameter set; Determining an evaluation model to be optimized from an evaluation model library based on the structured parameter set, and determining a target evaluation model according to the structured parameter set and the evaluation model to be optimized; Determining a policy evaluation score corresponding to each effective policy in the list of effective policies based on the target evaluation model; And determining the optimal competition strategy according to the strategy evaluation value and the parameter optimization model. According to another aspect of the present invention, there is provided an optimal competition strategy determination device based on a parameter optimization model, including: The parameter extraction module is used for acquiring an evaluation rule file corresponding to the target item and carrying out structural analysis on the evaluation rule file to obtain a structural parameter set; the evaluation model determining module is used for determining an evaluation model to be optimized from the evaluation model library based on the structured parameter set, and determining a target evaluation model according to the structured parameter set and the evaluation model to be optimized; the evaluation branch determining module is used for determining strategy evaluation scores corresponding to each effective strategy in the effective strategy list based on the target evaluation model; And the optimal competition strategy determining module is used for determining an optimal competition strategy according to the strategy evaluation value and the parameter optimization model. According to another aspect of the present invention, there is provided an electronic apparatus including: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the parameter optimization model-based optimal race policy determination method of any of the embodiments of the present invention. According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the method for determining an optimal competition strategy based on the parameter optimization model according to any one of the embodiments of the present invention when executed. According to the technical scheme, the structural parameter set is obtained by obtaining the evaluation rule file corresponding to the target item and carrying out structural analysis on the evaluation rule file, the evaluation model to be optimized is determined from the evaluation model library based on the structural parameter set, the target evaluation model is determine