Cooperative Path Planning of Multi-UAV Based on Evolutionary Algorithm
LI Zi-ji · Fire Control and Command Control · 2015
Aiming at maximizing penetration path time synergy index and penetration path airspace synergy index, minimizing penetration time length index and intimidate index, restricted by the minimum length of straight path, flyable space, endurance and intro-mission route direction, the penetration path planning model of Multiple Unmanned Serial Vehicle(Multi-UAV)is constructed.Combining its characteristic, the model is solved by use of Cooperative Co-evolutionary Genetic Algorithms(CCGA)