摘要
Abstract
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).关键词
无人机/协同航路规划/合作型协同进化遗传算法Key words
Unmanned Aerial Vehicle(UAV)/cooperative path planning/Cooperative Co-evolutionary Genetic Algorithms(CCGA)分类
信息技术与安全科学
