Multi-platform weapon target allocation method based on symbiotic search biogeography optimization

Abstract

The invention provides a multi-platform weapon target allocation method based on symbiotic search biogeography optimization. The method comprises the following steps: constructing a multi-platform WTA model based on a fuzzy expectation effect; setting a population scale, and randomly generating an initial solution; encoding the population by adopting an integer-based matrix encoding strategy; calculating an objective function value corresponding to each solution, sorting the objective function values from large to small, and reserving the solutions corresponding to the first q larger objective function values; the initial population is optimized, and the randomness of the initial population is reduced; improving a migration operator, and carrying out migration optimization operation; a symbiotic mutation operator is provided, and mutation optimization operation is carried out; recalculating the objective function value corresponding to each solution, sorting from large to small, and replacing the solutions corresponding to the first q larger objective function values; whether the maximum number of iterations is reached or not is judged, and if yes, a result is output; otherwise, returning to the fifth step. The method adapts to the requirements of operational aid decision-making on solving precision and timeliness in an uncertain environment, and can provide method support for research and development of a command and control system.

Description

technical field [0001] The invention relates to technologies in the field of uncertain optimization and command control, in particular to a multi-platform weapon target allocation method based on symbiotic search biogeography optimization in an uncertain environment. Background technique [0002] Under the condition of informationized combat, the combat environment is becoming more and more complex, and weapon target assignment (WTA), as the core issue of command decision-making, has become a research hotspot at home and abroad. Due to the increasingly diverse means of enemy interference and the increasing number of uncertain factors on the battlefield, how to rationally use multi-platform weapon units to attack enemy targets under uncertain conditions to achieve the optimal combat effect is an urgent problem to be solved by the current WTA . [0003] In terms of model construction for the multi-platform WTA problem, the classic WTA model aims to maximize the expected damag...

AI Technical Summary

Problems solved by technology

However, the basic BBO algorithm also has the following obvious problems: ①During the migration process, the optimal solution is directly copied, and the diversity of the population is not high; ②The candidate solutions are attracted by individual solutions with high fitness values, and multiple solutions appear in the later iteration Similar or super-individual phenomena; ③Algorithm premature convergence and other problems

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