Multi-missile collaborative route calculation method based on multi-target evolution method

Abstract

The invention provides a multi-missile collaborative route calculation method based on a multi-target evolution method, which belongs to the technical field of task planning. The method specifically comprises the steps of: coding missile routes, defining missile mobility characteristics, modeling a planning area, generating route initial populations, evolving the route initial populations to generate new-generation route populations, evaluating the new-generation route populations to generate a rout set Q, evolving the route set Q among the populations to obtain a new-generation route set Q', evaluating the obtained new-generation route set Q', judging whether collaborative conditions are satisfied or not and the like. The method provided by the invention abandons the traditional route planning mode aiming at a single missile and can conduct collaborative planning to multiple missiles. By giving full consideration to the spatial conflict relationship and the attack arrival time relationship among the multiple missiles during planning, the realization of simultaneous set-time attacks to multiple enemy targets, saturation attacks to a certain enemy target and the like is facilitated and the attack efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of mission planning, and in particular relates to a multi-bomb cooperative route calculation method based on a multi-objective evolution method. Background technique [0002] Route planning is one of the cores of the mission planning system. Its core content is to select a point between the initial point and the target point that satisfies a series of constraints, and optimize it under the constraints to obtain an optimized route. In a sense In general, it is the optimization problem of matching explicit objectives with various constraint functions. The purpose of missile path planning is to use geographic information and battlefield environment information to plan the flight path of the missile under the premise of satisfying various constraints, so that the specific evaluation indicators of the missile can be optimized, thereby improving the combat effectiveness of the missile. [0003] In the process of ...

AI Technical Summary

Problems solved by technology

The method provided in the present invention differs from the existing methods in the following notable features: First, the multi-objective evolutionary algorithm is applied to solve the multi-bomb cooperative route planning problem, and the global search and parallel computing capabilities of the multi-objective

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