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

Xin Lai Chen; Song Shen

doi:10.4028/www.scientific.net/AMR.605-607.2399

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Weapon-Target Assignment Problem in the Warship...

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

Abstract:

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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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

2399-2404

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.2399

Citation:

Cite this paper

Online since:

December 2012

Authors:

Xin Lai Chen, Song Shen

Keywords:

Fast and Elitist Non-Dominated Sorting Genetic Algorithm (FENSGA), Multi-Objects Optimization, Warship Fleet, Weapon-Target Assignment (WTA)

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