[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Shuo et al., 2020 - Google Patents

Research on distributed task allocation of loitering munition swarm

Shuo et al., 2020

Document ID
7329000389632460527
Author
Shuo W
DongMei S
Yu D
HUANG K
Publication year
Publication venue
2020 International Conference on Information Science, Parallel and Distributed Systems (ISPDS)

External Links

Snippet

With the continuous development of unmanned systems swarm technology, the loitering munition swarm technology has gained wide attention from various countries for its unique combat advantages, and the task allocation technology is the key guarantee for its …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning

Similar Documents

Publication Publication Date Title
CN111880563B (en) Multi-unmanned aerial vehicle task decision method based on MADDPG
CN101122974B (en) Un-manned plane fairway layout method based on Voronoi graph and ant colony optimization algorithm
Zhang et al. Dynamic mission planning algorithm for UAV formation in battlefield environment
CN111859541B (en) PMADDPG multi-unmanned aerial vehicle task decision method based on transfer learning improvement
CN114397911B (en) Unmanned aerial vehicle cluster countermeasure decision-making method based on multiple intelligent agents
Wu et al. Heterogeneous mission planning for multiple uav formations via metaheuristic algorithms
CN114740883B (en) Coordinated point reconnaissance task planning cross-layer joint optimization method
Xu et al. Autonomous and cooperative control of UAV cluster with multi-agent reinforcement learning
CN115951709A (en) Multi-unmanned aerial vehicle air combat strategy generation method based on TD3
Qingwen et al. Cooperative jamming resource allocation of UAV swarm based on multi-objective DPSO
Wei et al. Multi-UAVs cooperative reconnaissance task allocation under heterogeneous target values
Li et al. An Intelligent Algorithm for Solving Weapon-Target Assignment Problem: DDPG-DNPE Algorithm.
Shuo et al. Research on distributed task allocation of loitering munition swarm
Liu et al. Deep reinforcement learning task assignment based on domain knowledge
Zhang et al. A survey on joint-operation application for unmanned swarm formations under a complex confrontation environment
Zhou et al. A summary of the development of cooperative and intelligent technology for multi-UAV systems
Pinon et al. Task allocation and path planning for collaborative swarm guidance in support of artillery mission
CN117527050A (en) Unmanned aerial vehicle bee colony electromagnetic space model based on task decomposition and construction method
Fu et al. Survey of manned/unmanned air combat decision technology
CN112818496B (en) Anti-ground-defense strategy based on ant colony algorithm
Shi et al. The UAV swarm mission planning based on adaptive genetic algorithm
Yeding et al. Research on UAV task assignment based on hybrid particle swarm algorithm
Zhong et al. Research on command and control of MAV/UAV engagement from the cooperative perspective
Hu et al. Analysis of the current situation of aviation swarm operations
Deng et al. Research on intelligent decision technology for multi-UAVs prevention and control