Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm

Optik

Volumn 126, Issue 4, 2015, Pages 490-493

  Dai, Hongde ^a   Liu, Aili ^a   Lu, Jianhua ^a   Dai, Shaowu ^a   Wu, Xiaonan ^a   Sun, Yuyu ^a  

^a NAVAL AERONAUTICAL AND ASTRONAUTICAL UNIVERSITY   (China)

Author keywords

Deformation detection; Fruit fly optimization algorithm; IMU; Optimization problem

Indexed keywords

DEFORMATION; FRUITS; OPTIMIZATION;

DEFORMATION DETECTION; FITNESS FUNCTIONS; FRUIT FLIES; FRUIT FLY OPTIMIZATION ALGORITHM (FOA); MODAL ASSURANCE CRITERION; OPTIMAL LAYOUT; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS;

DECKS (SHIP);

EID: 84925865417     PISSN: 00304026     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijleo.2014.08.037     Document Type: Article

References (18)

1. D.H. Titterton, and J.L. Weston Strapdown Inertial Navigation Technology second ed. 2004 MIT Lincoln Laboratory Lexington, MA
2. A.V. Mochalov, and A.V. Kazantsev Use of the ring laser units for measurement of the moving object deformation Proc. SPIE 4680 2002 85 92
3. J. Kaiser, G. Beck, and S. Berning Vital advanced inertial network Position Location and Navigation Symposium IEEE 1998 61 68
4. S.T. Wang, Z.Q. Wang, X.Q. Zhu, and B.O. Wang The methods of monitoring the ship dech deformation and the revision to the tack position information J. Chin. Inert. Technol. 15 6 2007 635 641
5. D.E. Goldberg, and J.H. Holland Genetic algorithms and machine learning Mach. Learn. 3 2 1988 95 99
6. L. De Giovanni, G. Massi, and F. Pezzella An adaptive genetic algorithm for large-size open stack problems Int. J. Prod. Res. 51 3 2013 682 697
7. H. Duan, Q. Luo, and Y. Shi Hybrid particle swarm optimization and genetic algorithm for multi-UAV formation reconfiguration Comput. Intell. Mag. IEEE 8 3 2013 16 27
8. Y.Z. Yu, X.Y. Ren, and C.Y. Deng Regulation of PID controller parameters based on ant colony optimization algorithm in bending control system Appl. Mech. Mater. 128 2012 205 210
9. K.S.A. Fathima, and M.K. Sindhanaiselvan Ant colony optimization based routing in wireless sensor networks Int. J. Adv. Netw. Appl. 4 04 2013 1686 1689
10. J. Kennedy, and R. Eberhart Particle swarm optimization Proceedings of International Conference on Neural Networks (ICNN'95) IEEE 1995
11. Y. Shi, and R. Eberhart A modified particle swarm optimizer Evolutionary Computation Proceedings, IEEE World Congress on Computational Intelligence IEEE 1998
12. Y. Shi Particle swarm optimization: developments, applications and resources Proceedings of the 2001 Congress on Evolutionary Computation IEEE 2001
13. X. Yang, J. Yuan, and J. Yuan A modified particle swarm optimizer with dynamic adaptation Appl. Math. Comput. 189 2 2007 1205 1213
14. W.-T. Pan A new fruit fly optimization algorithm: taking the financial distress model as an example Knowl. Based Syst. 26 2012 69 74
15. L. Wang, X.-L. Zheng, and S.-Y. Wang A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem Knowl. Based Syst. 48 2013 17 23
16. H.-Z. Li, S. Guo, and C.-J. Li A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm Knowl. Based Syst. 37 2013 378 387
17. F.-Z. Zeng, and H. Zhou Speaker recognition based on a novel hybrid algorithm Proc. Eng. 61 0 2013 220 226
18. H.-D. Dai, G.-R. Zhao, J.-H. Lu, and S.-W. Dai Comment and improvement on "A new fruit fly optimization algorithm: tracking the financial distress model as an example" Knowl Based Syst. 59 2014 159 160