Page 121 - Innovations in Intelligent Machines

UAV Path Planning Using Evolutionary Algorithms 111
36. Piegl, L., Tiller, W.: The NURBS Book. Springer (1997)
37. Farin, G.: Curves and Surfaces for Computer Aided Geometric Design, A Prac-
tical Guide. Academic Press (1988)
38. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine
Learning. Addison-Wesley (1989)
39. Holland, J.H.: Adaptation in Natural and Artificial Systems. The MIT Press
(1992)
40. Storn, R., and Price, K.: DE - a Simple and Efficient Adaptive Scheme for Global
Optimization over Continuous Space. ICSI, Technical Report TR-95-012 (1995)
41. Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution, a Practical
Approach to Global Optimization. Springer-Verlag, Berlin Heidelberg (2005)
42. Hui-Yuan F., Lampinen J., Dulikravich G.S.: Improvements to Mutation Donor
Formulation of Differential Evolution. Proceedings of EUROGEN 2003 confer-
ence on Evolutionary Methods for Design, Optimization and Control, Applica-
tions to Industrial and Societal Problems, CIMNE, Barcelona (2003)
43. Marse, K. and Roberts, S.D.: Implementing a portable FORTRAN uniform (0,1)
generator. Simulation (1983) 41–135
44. Torczon, V., Trosset, M.W.: Using Approximations to Accelerate Engineering
Design Optimization. NASA/CR-1998-208460, ICASE Report No. 98-33 (1998)
45. Giannakoglou, K.C.: Design of optimal aerodynamic shapes using stochastic
optimization methods and computational intelligence. Progress in Aerospace
Sciences 38 (2002) 43–76
46. Myers, R.H., Montgomery, D.C.: Responce Surface Methodology: Progress and
Product in Optimization Using Designed Experiments. Wiley – Interscience,
New York (1995)
47. Shyy, W., Papila, N., Vaidynathan, R., Tucker, K.: Global Design Optimization
for Aerodynamics and Rocket Propulsion Components. Prog. Aerospace Sci. 37
(2001) 59–118
48. Ratle, A.: Optimal Sampling Strategies for Learning a Fitness Model. Proceed-
ings of the 1999 Congress on Evolutionary Computation (CEC99), Washington
DC, USA (1999)
49. Haykin, S.: Neural Networks, a Comprehensive Foundation. Second Edition,
Prentice Hall (1999)