Study on the weapon target assignment problem using hybrid genetic algorithm

2018 ◽  
Author(s):  
Mian Fu ◽  
Miaomiao Li ◽  
Ni Sun
Keyword(s):  
Genetic Algorithm ◽  
Assignment Problem ◽  
Hybrid Genetic Algorithm ◽  
Target Assignment

Engineering-Oriented Hybrid Genetic Algorithm for Frequency Assignment Problem

2010 ◽  
Vol 40-41 ◽  
pp. 410-418
Author(s):  
Ting Ting Zhou ◽  
Ying Zheng ◽  
Ming Chen
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Simulated Annealing ◽  
Assignment Problem ◽  
Hybrid Genetic Algorithm ◽  
Mobile Telephone ◽  
Frequency Assignment ◽  
Real Word ◽  
Frequency Assignment Problem ◽  
Swarm Optimization

Since the usable range of the frequency spectrum is limited, the frequency assignment problem (FAP) is important in mobile telephone communication. In this paper, according to the characteristics of engineering- oriented FAP, an engineering-oriented hybrid genetic algorithm (EHGA) based on traditional genetic algorithm (TGA) is proposed, combined with particle swarm optimization (PSO) and simulated annealing (SA). The results obtained by the simulation to a real-word FAP case in GSM show that the algorithm we proposed is a better approach to solve the engineering-oriented FAP.

Weapon-Target Assignment Problem in the Warship Fleet Based on Fast and Elitist Non-Dominated Sorting Genetic Algorithm

2012 ◽  
Vol 605-607 ◽  
pp. 2399-2404
Author(s):  
Xin Lai Chen ◽  
Song Shen
Keyword(s):  
Genetic Algorithm ◽  
Assignment Problem ◽  
Optimization Problem ◽  
Pareto Solution ◽  
Robust Solution ◽  
Target Assignment

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.

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