Improved Simplified Swarm Optimization for UAVs path planning
Ameni Benkhlifa, Nadhem Jlili, Imed Gharbi · 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) · 2021
We intend in this paper to present an improvement of the simplified swarm optimization algorithm for multi UAVs path planning under environmental and collision avoidance constraints. The improvements we proposed to the SSO algorithm are chaos-based initialization, acceleration adjustment, and adoption of linearly varying inertia weight. They serve to make the planning faster and choose the simplest path. We conducted several speed and path tests and compared with the standard SSO algorithm and we obtained promising results.