A New Method for the Optimal Configuration of Ship-Based Aircraft Based on the Extended Backpack

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Abstract:

Ship-based aircraft how to scientifically reasonable and efficient configuration involves many complex factors, according to the study based on ship-based aircraft configuration expanding backpack theoretical optimization program. First, based on the operational capability of the ship-based aircraft to achieve the concept of the basic unit, to determine the basic configuration of the ship-based aircraft program to achieve a balanced and comprehensive defense capability; followed by analysis and to quantify the typical tasks threats, fuzzy decision evaluation model based on AHP method to build the basic unit of the ship-based aircraft mission capability; finally, based on generated expand backpacks theory the ship-based aircraft configuration program, and the use of genetic algorithm for efficient optimization.

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129-134

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Zhiming, Deng Jiangang, Yu Min, an Efficient Multi-Round Electronic Auction Based on Knapsack Theory [M]. Computer Engineering and Applications, 2006(04).

Google Scholar

[2] SHI Xiao-xing1, SHI Lei1, WEI Lin, Streaming Media Cache Algorithm Based on Knapsack Theory [M]. Computer Engineering, 2010(06).

Google Scholar

[3] LI Shuquan1, SUN Xue1, SUN Dehui1, Summary of crossover operator of genetic algorithm [M]. Computer Engineering and Applications, 2012(01).

Google Scholar

[4] Yue Tongsen, Wang Dahai, an Improved Algorithm of Bionic Research and Analysis [M]. Computer Engineering & Software, 2011(03).

Google Scholar

[5] NI Lin1, JIA Chunlan, Research on immune genetic algorithm in multi-project resource leveling [M]. Computer Engineering and Applications, 2012(13).

Google Scholar

[6] Marta V. Modenesi; Aleixandre G. Evsukoff; Myriad C. A. Costa, A Load Balancing Knapsack Algorithm for Parallel Fuzzy c-Means Cluster Analysis [J]. High Performance Computing for Computational Science - VECPAR (2008).

DOI: 10.1007/978-3-540-92859-1_24

Google Scholar