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

机译：基于快速和精英非统治分类遗传算法的军舰舰队武器 - 目标分配问题

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摘要

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.

机译：代表舰队舰队的新武器 - 目标分配（WTA）模型，即现代海军战区和战斗方式的特点。该模型将WTA考虑到多物体优化问题，并且应用了一个快速和精英的非主导排序遗传算法（Fensga）来解决此模型。 FenSGA可以达到一组广泛分配的强大的解决方案。 Fensga的一个运行可以达到多帕氏解决方案，指挥官可以选择。给出了模拟来证明该模型和算法的有效性。

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《International Conference on Materials and Products Manufacturing Technology》|2013年||共6页
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Xinlai Chen; Song Shen;
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中图分类 TB3-532;
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Warship fleet Weapon-Target Assignment (WTA); Fast and Elitist Non-Dominated Sorting Genetic Algorithm (FENSGA); Multi-objects optimization;

机译：军舰车队武器 - 目标分配（WTA）;快速和精英非统治分类遗传算法（FenSGA）;多物体优化;

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

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