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Volumn 1, Issue , 2000, Pages 2975-2980

Lamarckian evolution in global optimization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; GLOBAL OPTIMIZATION; INDUSTRIAL ELECTRONICS; LEARNING SYSTEMS; LOCAL SEARCH (OPTIMIZATION);

EID: 84969195101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2000.972471     Document Type: Conference Paper
Times cited : (8)

References (15)
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    • D.H. Ackley and M.L. Littman. A case for Lamarckian evolution. In C.G. Langton, editor, Artificial Life III, volume XVII of SFI Studies in Sciences of Complexity, Proc., pages 3-10. Addison-Wesley, 1994.
    • (1994) SFI Studies in Sciences of Complexity, Proc. , vol.17 , pp. 3-10
    • Ackley, D.H.1    Littman, M.L.2
  • 2
    • 84977486998 scopus 로고
    • Lamarkian evolution, the Baldwin effect and function optimization
    • Y. Davidor, H.-P. Schwefel, and R. Männer, editors, Parallel Problem Solving from Nature-PPSN III, Berlin, Springer-Verlag
    • D. Whitley, V.S. Gordon, and K. Mathias. Lamarkian evolution, the Baldwin effect and function optimization. In Y. Davidor, H.-P. Schwefel, and R. Männer, editors, Parallel Problem Solving from Nature-PPSN III, volume 866 of Lecture Notes in Computer Science, pages 6-15, Berlin, 1994. Springer-Verlag.
    • (1994) Lecture Notes in Computer Science , vol.866 , pp. 6-15
    • Whitley, D.1    Gordon, V.S.2    Mathias, K.3
  • 3
    • 0000059548 scopus 로고    scopus 로고
    • Optimization with genetic algorithm hybrids that use local search
    • R.K. Belew and M. Mitchell, editors, Adaptive Individuals in Evolving Populations: Models and Algorithms, Reading, MA, Addison-Wesley
    • W.E. Hart and R.K. Belew. Optimization with genetic algorithm hybrids that use local search. In R.K. Belew and M. Mitchell, editors, Adaptive Individuals in Evolving Populations: Models and Algorithms, volume 26 of SFI Studies in the Sciences of Complexity, pages 483-496, Reading, MA, 1996. Addison-Wesley.
    • (1996) SFI Studies in the Sciences of Complexity , vol.26 , pp. 483-496
    • Hart, W.E.1    Belew, R.K.2
  • 5
    • 84878563736 scopus 로고    scopus 로고
    • Accelerating the convergence of evolutionary algorithms by fitness landscape approximation
    • A.E. Eiben, Th. Bäck, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature-PPSN V, Berlin, Springer
    • A. Ratle. Accelerating the convergence of evolutionary algorithms by fitness landscape approximation. In A.E. Eiben, Th. Bäck, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature-PPSN V, volume 1498 of Lecture Notes in Computer Science, pages 87-96, Berlin, 1998. Springer.
    • (1998) Lecture Notes in Computer Science , vol.1498 , pp. 87-96
    • Ratle, A.1
  • 6
    • 84901426883 scopus 로고    scopus 로고
    • Optimal sampling strategies for learning a fitness model
    • Piscataway, NJ, IEEE Press
    • A. Ratle. Optimal sampling strategies for learning a fitness model. In Proceedings of the 1999 Congress on Evolutionary Computation, volume 3, pages 2078-2085, Piscataway, NJ, 1999. IEEE Press.
    • (1999) Proceedings of the 1999 Congress on Evolutionary Computation , vol.3 , pp. 2078-2085
    • Ratle, A.1
  • 9
    • 84901469983 scopus 로고    scopus 로고
    • Genetic crossover strategy using an approximation concept
    • Piscataway, NJ, IEEE Press
    • K.S. Anderson and Y. Hsu. Genetic crossover strategy using an approximation concept. In Proceedings of the 1999 Congress on Evolutionary Computation, volume 1, pages 527-533, Piscataway, NJ, 1999. IEEE Press.
    • (1999) Proceedings of the 1999 Congress on Evolutionary Computation , vol.1 , pp. 527-533
    • Anderson, K.S.1    Hsu, Y.2
  • 10
    • 84901430490 scopus 로고    scopus 로고
    • Combining landscape approximation and local search in global optimization
    • Piscataway, NJ, IEEE Press
    • K.-H. Liang, X. Yao, and C. Newton. Combining landscape approximation and local search in global optimization. In Proceedings of the 1999 Congress on Evolutionary Computation, volume 2, pages 1514-1520, Piscataway, NJ, 1999. IEEE Press.
    • (1999) Proceedings of the 1999 Congress on Evolutionary Computation , vol.2 , pp. 1514-1520
    • Liang, K.-H.1    Yao, X.2    Newton, C.3
  • 12
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    • Learning Evaluation Functions for Global Optimization
    • Ph.D. Thesis, Carnegie Mellon University, August
    • J.A. Boyan. Learning Evaluation Functions for Global Optimization. Ph.D. Thesis, Carnegie Mellon Technical Report CMU-CS-98-152, Carnegie Mellon University, August 1998.
    • (1998) Carnegie Mellon Technical Report
    • Boyan, J.A.1
  • 15
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    • An analysis of evolutionary algorithms based on neighbourhood and step sizes
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    • X. Yao, G. Lin, and Y. Liu. An analysis of evolutionary algorithms based on neighbourhood and step sizes. In P.J. Angeline, R.G. Reynolds, J.R. McDonnell, and R. Eberhart, editors, Evolutionary Programming VI: Proc. of the Sixth Annual Conference on Evolutionary Programming, volume 1213 of Lecture Notes in Computer Science, pages 297-307, Berlin, 1997. Springer.
    • (1997) Lecture Notes in Computer Science , vol.1213 , pp. 297-307
    • Yao, X.1    Lin, G.2    Liu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.