A heuristic genetic algorithm for solving constrained Weapon-Target Assignment problem

Author(s):  
Song Zhihua ◽  
Fashun Zhu ◽  
Zhang Duolin
2012 ◽  
Vol 605-607 ◽  
pp. 2399-2404
Author(s):  
Xin Lai Chen ◽  
Song Shen

Represent a new Weapon-Target Assignment (WTA) model of warship fleet as to the characteristic of the modern naval battle field and the battle modality. This model considers the WTA to a multi-objects optimization problem, and a Fast and Elitist Non-Dominated Sorting Genetic Algorithm (FENSGA) is applied to resolve this model. The FENSGA can reach a set of wide-distributing, robust solution. One running of the FENSGA can reach a multi-Pareto solution, which the commander can select from. A simulation is given to prove the validity of this model and algorithm.


Author(s):  
Jung Hun Kim ◽  
◽  
Kyeongtaek Kim ◽  
Bong-Wan Choi ◽  
Jae Joon Suh

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