Cooperative Interference Decision Based on Directed Mutation Search Artificial Bee Colony Algorithm

Abstract

The rapid development of electronic technology and weapons and equipment has promoted the transformation of the war situation. Electronic warfare has become more and more important in modern warfare. Reasonable interference decision-making according to the battlefield environment can achieve better combat results. Therefore, the interference decision-making link is in a very critical position in combat. For different confrontation environments, obtaining appropriate interference allocation schemes can improve the interference effect and overall revenue, and to some extent, reduce the loss of interference resources and equipment. In terms of the static multi-jammer cooperative interference decision algorithm, this paper aims at the current common optimization algorithms that are greatly affected by human factors and the search method is inefficient, and proposes an improved artificial bee colony algorithm based on directed mutation to solve static multi-interference machine coordination interferes decision-making issues. Simulation shows that the optimization ability and convergence speed of the artificial bee colony algorithm based on directed mutation have been improved to a certain extent.