A decoupling receding horizon search approach to agent routing and optical sensor tasking based on brain storm optimization

Search problem of unmanned air vehicles (UAVs) is a rather complicated multi-objective optimization problem with different constrains under complex combat field environment, the crux of which is the joint optimization for agent and optical sensor. In this paper, a decoupling receding horizon search approach is proposed to simplify the optimization problem. A brand-new swarm intelligence optimization algorithm named brain storm optimization (BSO) inspired by a human being's behavior of brainstorming is utilized to optimize the parameters of the proposed approach. Comparative experimental results are presented to show the better performance in feasibility, validity and superiority of our proposed approach than traditional method.