Hybrid game evolutionary algorithm for mission path planning of aerial survey tasks
Giovanni Rappa, Felipé Gonzalez, Jonathan Kok, Fulvia Quagliotti · QUT ePrints (Queensland University of Technology) · 2012
The aim of this paper is to implement a Game-Theory based offline mission path planner for aerial inspection tasks of large linear infrastructures. Like most real-world optimisation problems, mission path planning involves a number of objectives which ideally should be minimised simultaneously. The goal of this work is then to develop a Multi-Objective (MO) optimisation tool able to provide a set of optimal solutions for the inspection task, given the environment data, the mission requirements and the definition of the objectives to minimise. Results indicate the robustness and capability of the method to find the trade-off between the Pareto-optimal solutions.