An anytime algorithm based on modified GA for dynamic weapon-target allocation problem-Reference-Cited by-同舟云学术

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An anytime algorithm based on modified GA for dynamic weapon-target allocation problem

Published:2008-06 Issue: Volume: Page:
ISSN:
Container-title:2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
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Author:

Ling Wu ,Hang-yu Wang ,Fa-xing Lu ,Peifa Jia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4625778/4630767/04631065.pdf?arnumber=4631065

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Naval Air Defense Planning problem: A novel formulation and heuristics;Naval Research Logistics (NRL);2024-04-04

2. Unmanned ground weapon target assignment based on deep Q-learning network with an improved multi-objective artificial bee colony algorithm;Engineering Applications of Artificial Intelligence;2023-01

3. An approximate dynamic programming approach for comparing firing policies in a networked air defense environment;Computers & Operations Research;2020-05

4. Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms;Annals of Operations Research;2019-10-26

5. A Real-Time Exhaustive Search Algorithm‎ For Weapon-Target Assignment (WTA) Problem‎;Scientia Iranica;2019-07-07

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