Multi-target resource allocation system

Abstract

The invention provides a multi-target resource allocation system, belonging to the field of resource allocation. The multi-target resource allocation system includes a real-time data acquisition module, a target and constraint condition generation module, a multi-target resource allocation scheme generation module, and a transmission module, the real-time data acquisition module acquires the resource processing capacity and tasks to be scheduled in each processing plant in real time, the target and constraint condition generation module determines the target and constraint conditions of the resource allocation based on the resource processing capacity and tasks to be scheduled in each processing plant acquired by the real-time data acquisition module, the multi-target resource allocation scheme generation module generates a multi-target resource allocation scheme by means of a migration bird flock optimization method, and the transmission module distributes the multi-target resource allocation scheme generated by the multi-target resource allocation scheme generation module to the processing plants to be scheduled.

Description

technical field [0001] The invention belongs to the field of resource allocation, and in particular relates to a multi-objective resource allocation system. Background technique [0002] Resource allocation problem, that is, given a certain amount of certain resources, such as manpower, funds, equipment, materials, etc., and investing them in various activities, how to allocate resources to various activities to optimize the total effect of resources . At present, a large number of resource allocation problems appear in various production processes, such as the allocation of blast furnace converters in steelmaking and continuous casting production. In the actual production process, resource allocation optimization schemes often need to consider multiple performance indicators, that is, multi-objective optimization problems. In recent years, with the continuous development of multi-objective optimization technology, a variety of multi-objective processing technologies have ...

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Problems solved by technology

However, the multi-objective resource allocation problem is an NP-hard problem, and the above algorithms either fall into "premature" due to too fast convergence, or cannot provide a comprehensive solution due to lack of diversity.

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