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Cited by 1,176

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

An introduction to genetic algorithms

Deb, Kalyanmoy·1999·Sadhana
DOI 10.1007/bf02823145
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Citations

Cites

Research works printed but not linked: 39

  1. Bäck T, Fogel D, Michalewicz Z (eds) 1997Handbook of evolutionary computation. (New York: Inst. Phys. Publ. and Oxford Univ. Press)
  2. Box M J 1965 A new method of constrained optimization and a comparison with other methods.Comput. J. 8: 42–52 · DOI · Paper page
  3. Chaturvedi D, Deb K, Chakrabarty S K 1995 Structural optimization using real-coded genetic algorithms. In:Proceedings of the Symposium on Genetic Algorithms (eds) P K Roy, S D Mehta (Dehra Dun: Siva Offset Press) pp 73–82
  4. Davis L 1991Handbook of genetic algorithms (New York: Van Nostrand Reinhold)
  5. Dawkins R 1976The selfish gene (New York: Oxford University Press)
  6. Dawkins R 1986The blind watchmaker (New York: Penguin).
  7. Deb K 1989Genetic algorithms in multimodal function optimization. Master’s thesis (TCGA Report No. 89002), Tuscaloosa, University of Alabama
  8. Deb K 1995Optimization for engineering design: Algorithms and examples (Delhi: Prentice-Hall)
  9. Deb K, Agrawal R B 1995 Simulated binary crossover for continuous search space.Complex Syst. 9: 115–148
  10. Deb K, Goldberg D E 1989 An investigation of niche and species formation in genetic function optimizationProceedings of the Third International Conference on Genetic Algorithms, pp. 42–50
  11. Deb K, Goyal M 1999 A robust optimization procedure for mechanical component design based on genetic adaptive search.ASME J. Mech. Design · DOI
  12. Deb K, Kumar A 1995 Real-coded genetic algorithms with simulated binary crossover: Studies on multimodal and multiobjective problems.Complex Syst. 9: 431–454
  13. Deb K, Pratihar D K, Ghosh A 1998 Learning to avoid moving obstracles optimally for mobile robots using a genetic-fuzzy approach.Parallel Problem Solving from Nature, (eds) A E Eiben, T Bäck, M Schoenauer, H-P Schweftel, 5: 583–592 · doi:10.1007/bfb0056900
  14. Eldredge N 1989Macro-evolutionary dynamics: Species, niches, and adaptive peaks (New York: McGraw-Hill)
  15. Eshelman L, Schaffer J D 1993 Real-coded genetic algorithms and interval-schemata.Foundations of Genetic Algorithms (ed.) L D Whitley, 2: 187–202 · DOI · Paper page
  16. Fonseca C M, Fleming P J 1993 Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization. InProceedings of the Fifth International Conference on Genetic Algorithms (ed.) S Forrest, pp 416–423
  17. Gen M, Cheng R 1997Genetic algorithms and engineering design (New York: Wiley)
  18. Goldberg D E 1989Genetic algorithms in search, optimization, and machine learning (New York: Addison-Wesley)
  19. Goldberg D E, Deb K 1991 A comparison of selection schemes used in genetic algorithms. InFoundations of genetic algorithms (ed.) G J E Rawlins (San Mateo, CA: Morgan Kaufmann) pp 69–93
  20. Goldberg D E, Deb K, Horn J 1992 Massive multimodality, deception, and genetic algorithms. InParallel Problem Solving from Nature (eds) R Manner, B Manderick (Berlin: Springer-Verlag) 2: 37–46
  21. Goldberg D E, Richardson J 1987 Genetic algorithms with sharing for multimodal function optimization.Proceedings of the Second International Conference on Genetic Algorithms (ed.) J J Grefenstette, pp 41–49
  22. Goldberg D E, Smith R 1987 Nonstationary function optimization using genetic algorithms with dominance and diploidy. InProceedings of the Second International Conference on Genetic Algorithms (ed.) J J Grefenstette (Mahwah, NJ: Lawrence Erlbaum) pp 59–68
  23. Herrera F, Verdegay J L (eds) 1996Genetic algorithms and soft computing (Heidelberg: Physica-Verlag)
  24. Holland J H 1975Adaptation in natural and artificial systems (Ann Arbor: Univ. of Michigan Press)
  25. Karr C 1991Design of an adaptive fuzzy logic controller using a genetic algorithm. InProceedings of the Fourth International Conference on Genetic Algorithms (eds) R K Belew, L B Booker (San Mateo, CA: Morgan Kaufmann) pp 450–457
  26. McClelland J L, Rumelhart D E 1988Parallel distributed processing (Cambridge: MIT Press) vol. 1 and 2
  27. Michalewicz Z 1992Genetic algorithms + data structures = evolution programs (Berlin: Springer-Verlag) · DOI · Paper page
  28. Miller G F, Todd P M, Hedge S U 1989 Designing neural networks using genetic algorithms.Proceedings of the Third International Conference on Genetic Algorithms (ed.) J D Schaffer (San Mateo, CA: Morgan Kaufmann) pp 379–384
  29. Mitchell M 1996Introduction to genetic algorithms (Ann Arbor, MI: Univ. of Michigan Press) (also New Delhi: Prentice-Hall)
  30. Reklaitis G V, Ravindran A, Ragsdell K M 1983Engineering optimization methods and applications (New York: John Wiley and Sons)
  31. Rudolph G 1994 Convergence analysis of canonical genetic algorithms.IEEE Trans. Neural Network NN-5: 96–101 · DOI · Paper page
  32. Sandgren E, Jensen E 1990 Topological design of structural components using genetic optimization methods.Proceedings of the 1990 Winter Annual Meeting of the ASME, AMD-115: 31–43
  33. Spears W M, De Jong K A 1991 An analysis of multi-point crossover. InFoundations of genetic algorithms (ed.) C J E Rawlins pp 310–315 (San Mateo, CA: Morgan Kaufmann)
  34. Srinivas N 1994Multiobjective optimization using nondominated sorting in genetic algorithms. Masters thesis, Indian Institute of Technology, Kanpur
  35. Srinivas N, Deb K 1995 Multiobjective function optimization using nondominated sorting genetic algorithms.Evolutionary Comput. 2: pp 221–248 · DOI · Paper page
  36. Starkweather T, McDaniel S, Mathias K, Whitley D, Whitley C 1991 A comparison of genetic scheduling operators. InProceedings of the Fourth International Conference on Genetic Algorithms (eds) R Belew, L B Booker (San Mateo, CA: Morgan Kaufmann) pp 69–76
  37. Vose M D 1990 Generalizing the notion of schema in genetic algorithms.Artif. Intell. 50: 385–396 · DOI
  38. Winter G, Périaux J, Galan M, Cuesta P (eds) 1996Genetic algorithms in engineering and computer science (Chichester: Wiley)
  39. Whitley D 1992 An executable model of a simple genetic algorithm. InFoundations of genetic algorithms, vol. 2 pp 45–62 · DOI

Cited by

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Metadata

Authors
Deb, K.
Venue
Sadhana
Publisher
Springer Science and Business Media LLC
Published
1999-08
Volume
24
Issue
4-5
Pages
293-315
ISSN
  • 0256-2499 (ISSN-L)
  • 0973-7677
DOI
10.1007/bf02823145
OpenAlex
W1979356488
Cited by
1,176
References
2
FWCI
1.63
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.