Constrained optimization of the shape of a wave energy collector by genetic algorithm

Renewable Energy

Volumn 51, Issue , 2013, Pages 274-284

  McCabe, A P ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Genetic algorithms; Marine energy conversion; Optimization methods; Wave energy converter design

Indexed keywords

B-SPLINE SURFACE; CONTROL POINT; DEGREE OF FREEDOM; ENERGY EXTRACTION; NORTH EAST ATLANTIC; ONE PLANE OF SYMMETRY; OPTIMIZATION METHOD; OPTIMIZATION PROCEDURES; PARAMETRIC DESCRIPTION; POWER RATINGS; SEARCH SPACES; SYSTEMATIC METHOD; WAVE CLIMATES; WAVE ENERGY; WAVE ENERGY CONVERTERS;

BENCHMARKING; CONSTRAINED OPTIMIZATION; DIGITAL STORAGE; GENETIC ALGORITHMS; OCEAN CURRENTS;

WAVE ENERGY CONVERSION;

ALTERNATIVE ENERGY; DESIGN; EQUIPMENT; GENETIC ALGORITHM; MARINE RESOURCE; OPTIMIZATION; PARAMETERIZATION; POWER GENERATION; RENEWABLE RESOURCE; SHAPE; SYMMETRY; WAVE POWER;

EID: 84867784300     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2012.09.054     Document Type: Article

References (34)

1. Fraser A.S. Simulation of genetic systems. J Theor Biol 1962, 2:329-346.
2. Fogel L.J., Owens A.J., Walsh M.J. Artificial intelligence through simulated evolution 1966, John Wiley, UK.
3. De Jong K. Analysis of the behavior of a class of genetic adaptive systems, Ph.D. Thesis, University of Michigan, Ann Arbor, MI, USA; 1975.
4. Koza J.R. Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems 1990, Stanford University, CA, USA, Rep. No. STAN-CS-90-1314.
5. Holland J.H. Adaptation in natural and artificial systems 1975, University of Michigan Press, Ann Arbor, MI, USA.
6. Goldberg D.E. Genetic algorithms in search, optimization and machine learning 1989, Addison Wesley, New York, USA.
7. Rajeev S., Krishnamoorthy C. Genetic algorithms-based methodologies for design optimization of trusses. J Struct Eng 1997, 123(3):350-358.
8. Ohsaki M. Genetic algorithm for topology optimization of trusses. Comput Struct 1995, 57(2):219-225.
9. Camp C., Pezeshk S., Cao G. Optimized design of two-dimensional structures using genetic algorithm. J Struct Eng 1998, 124(5):551-559.
10. Erbatur F., Hasancebi O., Tutuncu I., Kilic H. Optimal design of planar and space structures with genetic algorithms. Comput Struct 2000, 75:209-224.
11. Schoenauer M. Shape representations and evolutionary schemes, in: Evolutionary programming, Proceedings of the Fifth Annual Conference on Evolutionary Programming, San Diego, USA; 1996, p. 121-129.
12. Kane C., Schoenauer M. Topological optimum using genetic algorithm. Control Cybern 1996, 25:1059-1088.
13. Kita E., Tanie H. Shape optimization of continuum structures by genetic algorithm and boundary element method. Eng Anal Bound Elem 1997, 19:129-136.
14. Annicchiarico W., Cerrolaza M. A 3D boundary element optimization approach based on genetic algorithms and surface modeling. Eng Anal Bound Elem 2004, 28:1351-1361.
15. Babarit A, Clément AH, Gilloteaux J-C. Optimization and time-domain simulation of the SEAREV wave energy converter, in: Proceedings of OMAE2005: The 24th International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2005), Ref. No.: OMAE2005-67286, Halkidiki, Greece; 2005.
16. Patel L.N., Murray A., Hallam J. Super-lampreys and wave energy: optimised control of artificially-evolved, simulated swimming lamprey. Neurocomputing 2007, 70:1139-1154.
17. Pelamis Wave Power Ltd Online at:, (logged Sept. 2012). http://www.pelamiswave.com/.
18. Karakasis M.K., Koubogiannis D.G., Giannakoglou K.C. Hierarchical distributed metamodel-assisted evolutionary algorithms in shape optimization. Int J Numer Meth Fluids 2007, 53.
19. Krishnakumar K. Microgenetic algorithms for stationary and non-stationary function optimization, in: SPIE Proceedings of intelligent control and adaptive systems, Philadelphia, USA; 1989, p. 289-296.
20. Gantovnik V.B., Anderson-Cook C.M., Gürdal Z., Watson L.T. A genetic algorithm with memory for mixed discrete-continuous design optimization. Comput Struct 2003, 81:2003-2009.
21. Alander JT. On optimal population size of genetic algorithms, in: Proceedings of the 1992 Annual International Computer Conference in Europe: Computer Systems and Software Engineering (COMPEURO 92), The Hague, Netherlands; 1992, p. 65-70.
22. Baker J.E. Reducing bias and inefficiency in the selection algorithm. Proceedings of the Second International Conference on genetic algorithms and their application 1987, 14-21. Lawrence Erlbaum Associates, USA.
23. Mühlenbein H., Schlierkamp-Voosen D. Predictive models for the breeder genetic algorithm. Evol Comput 1993, 1(1):25-49.
24. de Boor C. On calculating with B-splines. J Approx Theory 1972, 6(1):50-62.
25. WAMIT user manual, WAMIT Inc. Online at: (logged Sept. 2012). http://wamit.com/.
26. McCabe A.P., Aggidis G.A., Widden M.B. Optimizing the shape of a surge-and-pitch wave energy collector using a genetic algorithm. Renew Energy 2010, 35(12):2767-2775.
27. UKMO - UK Met. Office: UK and European numerical weather prediction wave model Online at:, (logged Sept. 2012). http://www.metoffice.gov.uk/.
28. Tucker M.J., Pitt E.G. Waves in ocean engineering 2001, (Ocean Engineering Series), Elsevier, UK.
29. Brodtkorb PA, Myrhaug D, Rue H. Joint distribution of wave height and wave crest velocity from reconstructed data, in: Proceedings of 9th ISOPE Conference, vol. III, Brest, France; 1999, p. 66-73.
30. Eidsmoen H. Tight-moored amplitude-limited heaving-buoy wave-energy converter with phase control. Appl Ocean Res 1998, 20:157-161.
31. Pizer D.J. Maximum wave-power absorption of point absorbers under motion constraints. Appl Ocean Res 1993, 15(4):227-234.
32. Falnes J. Ocean waves and oscillating systems 2002, Cambridge University Press, UK, p. 216.
33. MATLAB, The MathWorks, Inc., Online at: (logged Sept. 2012). http://www.mathworks.com/.
34. Aquamarine power Online at:, (logged Sept. 2012). http://www.aquamarinepower.com/.