The improving hybrid algorithm on the target allocation
- Resource Type
- Conference
- Authors
- Miao, Weiqiang; Lu, Yuming; Zhou, Linxia
- Source
- 2013 IEEE International Conference on Information and Automation (ICIA) Information and Automation (ICIA), 2013 IEEE International Conference on. :959-963 Aug, 2013
- Subject
- Communication, Networking and Broadcast Technologies
Robotics and Control Systems
Signal Processing and Analysis
Genetic algorithms
Algorithm design and analysis
Resource management
Cultural differences
Sociology
Statistics
Fires
genetic algorithm
Cultural Algorithm
target assignment
- Language
This paper analyses cultural genetic algorithm (CGA) combined with the reversal operation, and presents a specific hybrid optimization methodology which can address the problem of target assignment. The simulation results show that the probability of finding the global optimal solution and the convergence rate of the improved genetic algorithm based on cultural algorithm (CA) is obviously superior to that of the basic genetic algorithm (BGA) and cultural algorithm. Finally we get a better target assignment results; thus it provides a beneficial reference for addressing the problem of air defense deployment effectively.