An exploration into dynamic population sizing

Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10

Volumn , Issue , 2010, Pages 807-814

  Cook, Jason E ^a   Tauritz, Daniel R ^a  

^a Missouri University of Science and Technology   (United States)

Author keywords

Evolutionary algorithm; Optimization; Parameter control; Parameterless evolutionary algorithm; Population sizing

Indexed keywords

DYNAMIC PARAMETERS; DYNAMIC POPULATION; EMPIRICAL EVIDENCE; EXPERT KNOWLEDGE; FIXED PARAMETERS; NOVEL METHODS; OPTIMAL VALUES; PARAMETER CONTROL; PARAMETERLESS EVOLUTIONARY ALGORITHM; PERFORMANCE BASED; POPULATION CONTROL; POPULATION SIZES; POPULATION SIZING; PROBLEM SOLVERS; TRIAL AND ERROR;

OPTIMIZATION; PARAMETER ESTIMATION; POPULATION STATISTICS;

EVOLUTIONARY ALGORITHMS;

EID: 77955888005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1830483.1830624     Document Type: Conference Paper

References (11)

1. J. Arabas, Z. Michalewicz, andJ. Mulawka. GAVaPS-a genetic algorithm with varying population size. In Proceedings of the First IEEE Conference on Evolutionary Computation, pages 73-78, 1994.
2. T. Back, A. Eiben, andN. A. L. van der Vaart. An empirical study on GAs without parameters. In Proceedings of PPSN VI: the Sixth International Conference on Parallel Problem Solving from Nature, pages 315-324, 2000.
3. J. Clune, S. Goings, B. Punch, andE. Goodman. Investigations in meta-GAs: panaceas or pipe dreams? In Proceedings of GECCO 2005 Workshops on Genetic and Evolutionary Computation, pages 235-241, 2005.
4. A. Eiben, M. Schut, and A. deWilde. Is self-adaptation of selection pressure and population size possible? - a case study. In Proceedings of PPSN IX: the Ninth International Conference on Parallel Problem Solving from Nature, pages 900-909, 2006.
5. A. E. Eiben andJ. E. Smith. Introduction to Evolutionary Computing. Springer, 2007.
6. G. Harik and F. Lobo. A parameter-less genetic algorithm. In Proceedings of GECCO 1999: the Genetic and Evolutionary Computation Conference, volume 1, pages 258-265, 1999.
7. E. Holdener. The Art of Parameterless Evolutionary Algorithms. PhD thesis, Missouri University of Science and Technology, 2008.
8. K. A. D. Jong, M. A. Potter, andW. M. Spears. Using problem generators to explore the effects of epistasis. In Proceedings of the International Conference on Genetic Algorithms, pages 338-345, 1997.
9. F. G. Lobo andC. F. Lima. Revisiting evolutionary algorithms with On-the-fly Population Size Adjustment. In Proceedings of GECCO 2006: the Genetic and Evolutionary Computation Conference, pages 1241-1248, 2006.
10. V. Nannen, S. K. Smit, andÁ. E. Eiben. Costs and Benefits of Tuning Parameters of Evolutionary Algorithms. In Proceedings of PPSN X: the Tenth International Conference on Parallel Problem Solving from Nature, pages 528-538, 2008.
11. E. A. Smorodkina andD. R. Tauritz. Greedy Population Sizing for Evolutionary Algorithms. In Proceedings of CEC 2007 - IEEE Congress on Evolutionary Computation, pages 2181-2187, 2007.