A new search scheme using multi‐bee‐colony elite learning method for unmanned aerial vehicles in unknown environments

• DOI: 10.1002/oca.2918
• Publication Date: 2022-06-17T09:35:19Z
• Authors: Wei Yue; Chaofan Li; Zhongchang Liu; Lili Li; Liyuan Wang
• Keywords: Adaptability

Abstract In this research, a cooperative search for multiple dynamic targets in an unknown marine environment by unmanned aerial vehicles is studied based on novel multi‐bee‐colony (MBC) elite learning algorithm. First, specialized searching model established which includes the UAV dynamics, sensor model, target probability and environmental certainty at different flight altitudes. Then, new strategy, consists of rough accurate search, proposed maximizing multiobjective utility function with changing altitude. order to solve optimization problem, improved MBC algorithm designed, can improve adaptability computation speed standard artificial bee colony (ABC) under missions. Finally, extensive simulations are conducted show effectiveness superiority strategy.