A two-layer optimization framework for UAV path planning with interval uncertainties

Abstract

We propose a two-layer optimization framework for the unmanned aerial vehicle path planning problem to handle interval uncertainties that exist in the combat field. When evaluating a candidate flight path, we first calculate the interval response (i.e., the upper and lower bounds) of the candidate flight path within the inner layer of the framework using a collocation interval analysis method (CIAM). Then, in the outer layer, we introduce a novel criterion for interval response comparison. The artificial bee colony algorithm is used to search for the optimal flight path according to this new criterion. Our experimental results show that the CIAM adopted is a feasible option, which largely eases the computational burden. Moreover, our derived flight paths can effectively handle bounded uncertainties without knowing the corresponding uncertainty distributions.

Optimization of attack coordination decisions for UAVs based on genetic algorithms

“…Continuing the above example, a mutated individual A' will produce a new individual A''; if the mutation site is gene number 4, the set of genes not yet in A' includes (6,8); choosing arbitrarily, we have A'' (4) = 8.…”

“…Faced with the challenges of modern warfare, the ability to make quick and accurate decisions becomes extremely important. This is especially true in aerial confrontations, where every second can determine the outcome of the battle [6][7][8][9][10]. The paper conducts an extensive analysis of UAV attack options, proposing an optimized approach based on threat analysis, target allocation, and firepower adjustment to ensure the most effective use of resources.…”

Simultaneous dynamic optimization: A trajectory planning method for nonholonomic car-like robots

“…Trajectory planning has become a critical aspect of automation science; the applications of this process range from satellite orbit transfer [2], missile guidance [3], unmanned aerial vehicle navigation [4][5][6], anti-submarine search [7,8], hazardous environment exploration [9] and autonomous parking assistance [10,11]. In this work, we focus on the trajectory planning of car-like robots.…”