Abstract Unmanned Aerial Vehicles path planning is one of the critical issues in terms of
guaranteeing good performance in real-world applications. Basically, it is responsible for …

Focusing on the issues of large alculation amount and difficult convergence of Unmanned
Aerial Vehicle (UAV) path planning, a path planning method based on Chaos Sparrow …

This paper proposes a novel Chaotic Predator–Prey Biogeography-Based Optimization
(CPPBBO) approach for solving the path planning problems of Uninhabited Combat Air …

Path planning plays an extremely important role in the design of UCAVs to accomplish the
air combat task fleetly and reliably. The planned path should ensure that UCAVs reach the …

This study suggests an improved chaos sparrow search algorithm to overcome the problems
of slow convergence speed and trapping in local optima in UAV 3D complex environment …

The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …

Path planning plays an extremely important role in the design of UCAV to accomplish the air
combat task fleetly and reliably. The planned path should ensure UCAV reach the …

Abstract Harris Hawks Optimizer (HHO) is one of the many recent algorithms in the field of
metaheuristics. The HHO algorithm mimics the cooperative behavior of Harris Hawks and …

In recent years, several optimization algorithms are proposed, one of them is Multi-Verse
Optimizer (MVO). In this paper, a modified version of MVO is proposed, called CMVHHO …

Path planning of Uninhabited Combat Air Vehicle (UCAV) is a rather complicated global
optimum problem which is about seeking a superior flight route considering the different …