Hydrodynamic design of control surfaces for ships using a MOEA with neuronal correction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5572 LNAI, Issue , 2009, Pages 96-103

  Diaz Casas V ^a   Bellas, Francisco ^a   López Peña, Fernando ^a   Duro, Richard ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Artificial Neural Networks; Automatic Design; Control Surfaces; Multiobjective Evolutionary Algorithms

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; AUTOMATIC DESIGN; CANDIDATE SOLUTION; COMPUTATIONAL COSTS; CONTROL SURFACES; CORRECTION PROCEDURE; FITNESS EVALUATIONS; HYBRID INTELLIGENT SYSTEM; HYDRODYNAMIC DESIGN; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; NEURONAL SYSTEMS; OPTIMAL SOLUTIONS; SIMULATION MODEL; SIMULATION STAGES;

BACKPROPAGATION; COST REDUCTION; DESIGN; FLUID DYNAMICS; HYBRID SYSTEMS; HYDRODYNAMICS; INTELLIGENT SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; SHIPS; SIMULATORS; THREE DIMENSIONAL; TWO DIMENSIONAL;

EVOLUTIONARY ALGORITHMS;

EID: 70350626734     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02319-4_12     Document Type: Conference Paper

References (16)

1. Coello, C, Van Veldhuizen, D., Lamont, G.: Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd edn. Kluwer Academic Publishers, Dordrecht (2007)
2. Coello, C., Lamont, G.: Applications of Multi-Objective Evolutionary Algorithms. World Scientific, Singapore (2004)
3. Huang, V.L., Qin, A.K., Deb, K., Zitzler, E., Suganthan, P.N., Liang, J.J., Preuss, M., Huband, S.: Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms Special Session on Constrained Real-Parameter Optimization, Technical Report, Nanyang Technological University, Singapore (2007)
4. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A Fast and Elitist Multi-Objective Genetic Algorithm. NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182-197 (2000)
5. Suganthan, P.N.: Special Session on Constrained Real-Parameter Optimization, CEC (2007), http://www.ntu.edu.sg/home/EPNSugan/index-files/CEC- 07/CEC-07-Comparison.pdf
6. Vinici, A., Quagliarella, D.: Inverse and Direct Airfoil Design using a Multiobjective Genetic Algorithm. AIA A Journal 35(9), 1499-1505 (1997)
7. Thomas, M.W.: Multi-Species Pareto Frontiers in Preliminary Submarine Design. Foundations of Computing and Decision Sciences 25(4), 273-289 (2000)
8. Mierzwicki, T.S.: Risk Index for Multi-Objective Design Optimization of Naval Ships MSc thesis, Virginia Polytechnic Institute and State University, (2003)
9. Olcer, A.I.: A hybrid approach for multi-objective combinatorial optimisation problems in ship design and shipping. Computers & Operations Research 35(9), 2760-2775 (2008)
10. Clemente Fernández, J.A., Pérez Rojas, L., Pérez Arribas, F.: Optimización de una forma hidrodinámica mediante algoritmos evolutivos XIX Congreso Panamericano de IngenierPía Naval, Transporte Marítimo e Ingeniería Portuaria (2005)
11. Thwaites, B.: On the momentum equation in laminar boundary layer flow. ARC RM 2587 (1952)
12. Cebeci, T., Smith, A.: Analysis of turbulent Boundary layers, pp. 332-333 (1974)
13. Head, M.R.: Entrainment in the turbulent boundary layers. ARC R&M 3152 (1958)
14. Martin, O.L., Hansen: Aerodynamics of Wind, pp. 11-66. Turbines Science Publishers. Ltd. (2000)
15. Moores, J.: Potential Flow 2-Dimensional Vortex Panel Model: Applications to Wingmills, University of Toronto (2003)
16. Abbot, H., Von Doenhoff, A.E.: Theory of Wing Sections. Dover, New York (1949)