Cooperative Jamming Resource Allocation Based on Integer-Encoded Directed Mutation Artificial Bee Colony Algorithm

Abstract

Electromagnetic countermeasure (ECM) is of extreme importance in modern warfare. In order to confront the threat of radar-net, cooperative jamming platform with multiple jammers is the main approach. A proper allocation of jamming resource is required before and during the process of interference. This paper proposes an artificial bee colony (ABC) based jamming resource allocation (JRA) algorithm with few parameter adjustments. The allocation strategy is encoded in integer to better handle the constraints of JRA problem. Furthermore, a genetic algorithm (GA) inspired solution update method is introduced in stages of algorithm to accelerate the convergence rate. Simulation result shows that the proposed algorithm has a better performance in both rate and precision of convergence compared with tabu search artificial bee colony algorithm (TSABC) and ant colony optimization algorithm (ACO), which were adopted in previous related studies.