Selection of Genetic Algorithm Parameters for Backcalculation of Pavement Moduli

References

• Back T 1993 Optimal mutation rates in genetic search Forrest S Proceedings of the Fifth International Conference on Genetic Algorithms Morgan Kaufmann San Mateo, CA 2 8
   Google Scholar
• Back T Schwefel H-P 1995 Evolution strategies i: variants and their computational implementation Winter G Periaux J Galan M Cuesta P Genetic Algorithms in Engineering and Computer Science John Wiley and Sons Chichester 111 126
   Google Scholar
• Davis L 1989 Adapting operator probabilities in genetic algorithms Schaffer JD Proceedings of the Third International Conference on Genetic Algorithms Morgan Kaufmann San Mateo, CA 61 69
   Google Scholar
• De Jong KA 1975 An analysis of the behavior of a class of genetic adaptive systems Doctoral Dissertation University of Michigan Ann Arbor
   Google Scholar
• Deb K 1995 Optimization for Engineering Design Prentice-Hall New Delhi 310
   Google Scholar
• Fwa TF Tan CY Chan WT 1997 Backcalculation analysis of pavement layer moduli using genetic algorithms Transportation Research Record 1570 TRB, National Research Council Washington DC 134 142
   Google Scholar
• Goldberg DE 2000 Genetic Algorithms in Search, Optimization and Machine Learning Addison-Wesley, International Student Edition
   Google Scholar
• Goldberg , DE , Deb , K and Clark , JH . 1992 . Genetic algorithms noise, and the sizing of populations . Complex Systems , 6 : 333 – 362 .
   Web of Science ®Google Scholar
• Grefenstette JJ 1986 Optimization of control parameters for genetic algorithms Sage AP IEEE Transactions on Systems, Man, and Cybernetics New York Vol. SMC-16 (1) 122 128
   Google Scholar
• Harik GR Cantu-Paz E Goldberg DE Miller BL 1997 The gambler's ruin problem genetic algorithms, and the sizing of populations Back T Proceedings of 1997 IEEE International Conference on Evolutionary Computation IEEE Press New York 7 12
   Google Scholar
• Holland JH 1973 Genetic algorithms and the optimal allocation of trials SIAM Journal on Computing 2 2 88 105
   Google Scholar
• Holland JH 1975 Adaptation in Natural and Artificial systems University of Michigan Press Ann Arbor
   Google Scholar
• IRC: 37 2001 Guidelines for the Design of Flexible Pavements Indian Roads Congress New Delhi
   Google Scholar
• Julstrom BA 1995 What have you done for me lately? Adapting operator probabilities in a steady-static genetic algorithm Eschelman L Proceedings of the Sixth International Conference on Genetic Algorithms Morgan Kaufmann San Francisco, CA 81 87
   Google Scholar
• Kameyama S Himeno K Kasahara A Maruyama T 1998 Backcalculation of pavement layer moduli using genetic algorithms 8th International conference on Asphalt Pavements University of Washington Seattle, Washington 1375 1385
   Google Scholar
• Kumar RS 2001 Structural Evaluation of Pavements using Falling Weight Deflectometer Ph.D. Thesis, Indian Institute of Technology Kharagpur, India
   Google Scholar
• Lobo FG 2000 The Parameter-less Genetic Algorithm: Rational and Automated Parameter Selection for Simplified Genetic Algorithm Operation IlliGAL Report No.2000030, Illinois Genetic Algorithm Laboratory, University of Illinois at Urbana-Champaign USA
   Google Scholar
• Lobo FG Goldberg DE 1997 Decision-making in a hybrid genetic algorithm Proceedings of 1997 IEEE International Conference on Evolutionary Computation IEEE Piscataway, NJ 122 125
   Google Scholar
• Meier RG Rix GJ 1994 Backcalculation of flexible pavement moduli using artificial neural networks Transportation Research Record 1448 TRB, National Research Council Washington DC 75 82
   Google Scholar
• Mercer , RE and Sampson , JR . 1978 . Adaptive search using a reproductive meta-plan . Kybernetes , 7 : 215 – 228 .
   Web of Science ®Google Scholar
• Muhlenbein H 1992 How genetic algorithms really work: I. mutation and hill climbing Manner R Manderick B Parallel Problem Solving from Nature Elsevier Science Amsterdam, The Netherlands Vol. 2 15 25
   Google Scholar
• Reddy KS 1993 Analytical Evaluation of Flexible Pavements Ph.D. Thesis, Indian Institute of Technology Kharagpur, India
   Google Scholar
• Reddy MA Kumar RS Reddy KS Pandey BB 2001 Development of falling weight deflectometer for structural evaluation of pavements in India Proceedings of International Seminar on Sustainable Development in Road Transport New Delhi 8–10th Novemeber I-175–I-184
   Google Scholar
• Reddy MA Murthy MS Reddy KS Pandey BB 2002 Backcalculation of pavement layer moduli using genetic algorithms Journal of Highway Research Board 66 1 10 Indian Roads Congress, New Delhi
   Google Scholar
• Schaffer JD Caruana RA Eshelman LJ Das R 1989 A study of control parameters affecting online performance of genetic algorithms for function optimization Schaffer JD Proceedings of International Conference on Genetic Algorithms Morgan Kaufmann San Mateo, CA 51 60
   Google Scholar
• Smith , RE and Smuda , E . 1995 . Adaptively resizing populations: algorithm, analysis, and first results . Complex systems , 9 : 47 – 72 .
   Google Scholar
• Ullidtz P Coetzee NF 1995 Analytical procedures in nondestructive testing pavement evaluation Transportation Research Record 1482 TRB, National Research Council Washington DC 61 66
   Google Scholar
• Wright AH 1991 Genetic algorithms for real parameter optimization Rawins G First Workshop on the Foundation of Genetic Algorithms and Classifier Systems Morgan Kaufmann Publishers Los Atlos, CA 205 218
   Google Scholar