Camouflage Tasks Planning Method for Group Target Operations Based on the Evolution of Resource Constraint. (20th September 2022)
- Record Type:
- Journal Article
- Title:
- Camouflage Tasks Planning Method for Group Target Operations Based on the Evolution of Resource Constraint. (20th September 2022)
- Main Title:
- Camouflage Tasks Planning Method for Group Target Operations Based on the Evolution of Resource Constraint
- Authors:
- Liu, Chaochang
Xu, Weidong
Yang, Xin - Other Names:
- Li Yuan Academic Editor.
- Abstract:
- Abstract : Aiming at the problems of too many information points, complex tasks and resources matching, and too many non-inferior solutions in the process of group target operation camouflage planning, a target model and constraint model for group target operation camouflage planning have been established based on improved genetic algorithm. Through the resource constraint adjustment operator and discretization coding, the matching of tasks and resources and the adjustment of task sequence are realized, and the fitness function is constructed to obtain the relative optimal solution. Taking the artillery position group target as an example, the simulation results show that the optimization ability of this method is better than the greedy algorithm. The total time of the generated camouflage task sequence of the proposed method is reduced by an average of 2% compared with the greedy algorithm. The proposed method can assist the commander to carry out camouflage scheme planning and effectively improve the efficiency of operation engineering support.
- Is Part Of:
- Journal of sensors. Volume 2022(2022)
- Journal:
- Journal of sensors
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09-20
- Subjects:
- Detectors -- Periodicals
681.205 - Journal URLs:
- https://www.hindawi.com/journals/js/ ↗
- DOI:
- 10.1155/2022/2613301 ↗
- Languages:
- English
- ISSNs:
- 1687-725X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24054.xml