Air Combat Decision-Making For Cooperative Multiple Target Attack Based on Hybrid Adaptive Genetic Algorithm

doi:10.7523/j.issn.2095-6134.2006.3.016

›› 2006, Vol. 23 ›› Issue (3): 382-389.DOI: 10.7523/j.issn.2095-6134.2006.3.016

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Air Combat Decision-Making For Cooperative Multiple Target Attack Based on Hybrid Adaptive Genetic Algorithm

LUO De-Lin, SHEN Chun-Lin, WANG Biao, WU Wen-Hai

1 College of Automation Engineering, Nanjing University of Aeronautics &Astronautics, Nanjing 210016, China;
2 Qingdao Branch, Navy Aeronautical Engineering Institute, Qingdao 266041，China

Received:1900-01-01 Revised:1900-01-01 Online:2006-03-15

Abstract

Abstract: The Decision-Making (DM) problem is investigated for Cooperative Multiple Target Attack in air combat. It is to find a proper assignment of M friendly fighters to N hostile fighters in order to achieve the optimal expected attack effect according to the air combat situation. In this paper, the DM problem is formulated mathematically and then a Hybrid Adaptive Genetic Algorithm (HAGA) is presented for solving it. In the HAGA, a local search approach is embedded into the Adaptive Genetic Algorithm (AGA) to improve its search performance. In addition, an unconventional crossover operator is given to meet the constraints of the DM problem. Simulation experiment results show that the HAGA is more effective to solve the DM problem than the AGA.

Key words: multiple target attack, cooperative air-combat, air-combat decision-making, hybrid, adaptive, genetic algorithm

CLC Number:

V247
E837

LUO De-Lin, SHEN Chun-Lin, WANG Biao, WU Wen-Hai. Air Combat Decision-Making For Cooperative Multiple Target Attack Based on Hybrid Adaptive Genetic Algorithm[J]. , 2006, 23(3): 382-389.

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Air Combat Decision-Making For Cooperative Multiple Target Attack Based on Hybrid Adaptive Genetic Algorithm

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