The effects of control parameters and restarts on search stagnation in evolutionary programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1498 LNCS, Issue , 1998, Pages 398-407

  Mathias, K E ^a   Schaffer, J D ^a   Eshelman, L J ^a   Mani, M ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING; EVOLUTIONARY ALGORITHMS; PERTURBATION TECHNIQUES;

CAPACITY LIMIT; CONTROL PARAMETERS; EVOLUTIONARY PROGRAMMING ALGORITHMS; FACTORIAL DESIGN; GLOBAL OPTIMUM; MEASURING PERFORMANCE; PERTURBATION METHOD; RESTART MECHANISM;

PARAMETER ESTIMATION;

EID: 84878583369     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0056882     Document Type: Conference Paper

References (7)

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3. Larry Eshelman. The CHC Adaptive Search Algorithm. How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. In G. Rawlins, editor, Foundations of Genetic Algorithms, pages 265-283. Morgan Kaufmann, 1991.
4. Larry Eshelman, Keith Mathias, and J. David Schaffer. Convergence Controlled Variation. In R. Belew and M. Vose, editors, Foundations of Genetic Algorithms - 4. Morgan Kaufmann, 1997.
5. David Fogel. Evolutionary Computation: Towards a New Philosophy of Machine Intelligence. IEEE Press, 1995.
6. Daniel K. Gehlhaar and David B. Fogel. Tuning Evolutionary Programming for Conformationally Flexible Molecular Docking. In L. J. Fogel, P. J. Anjeline, and T. Baeck, editors, Evolutionary Programming V. MIT Press, 1996.
7. N. Saravanan, David B. Fogel, and Kevin M. Nelson. A Comparison of Methods for Self-adaptation in Evolutionary Algorithms. Bio Systems, 36:157-166, 1995.