Statistical exploratory analysis of genetic algorithms: The influence of gray codes upon the difficulty of a problem

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3339, Issue , 2004, Pages 1246-1252

  Czarn, Andrew ^a   MacNish, Gara ^a   Vijayan, Kaipillil ^a   Turlach, Berwin ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMATION; CODES (SYMBOLS); ENCODING (SYMBOLS); PROBLEM SOLVING; STATISTICAL METHODS; STATISTICAL TESTS;

DOT DIAGRAM ANALYSIS; GRAY CODES; HAMMING DISTANCE; TEST FUNCTIONS;

GENETIC ALGORITHMS;

EID: 22944478992     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30549-1_130     Document Type: Conference Paper

References (7)

1. Rothlauf, F.: Representations for Genetic and Evolutionary Algorithms. Studies in Fuzziness and Soft Computing. 1st edition. 2nd printing 2003 edn. Volume 104. Heidelberg: Springer (2002)
2. Davis, L., ed.: Handbook of genetic algorithms. Van Nostrand Reinhold, 115 Fifth Avenue, New York, New York 10003, USA (1991)
3. Czarn, A., MacNish, C., Vijayan, K., Turlach, B., Gupta, R.: Statistical exploratory analysis of genetic algorithms. IEEE Transactions on Evolutionary Computation 8 (2004) 405-421
4. Czarn, A., MacNish, C., Vijayan, K., Turlach, B.: Statistical exploratory analysis of genetic algorithms: The importance of interaction. In: Proc. 2004 Congress on Evolutionary Computation (CEC 2004), IEEE Press (2004) 2288-2295
5. Czarn, A., MacNish, C., Vijayan, K., Turlach, B.: Statistical exploratory analysis of genetic algorithms: The influence of gray codes upon the difficulty of a problem (extended version). Technical Report UWA-CSSE-04-004, The University of Western Australia, Crawley, Western Australia, 6009 (2004)
6. Montgomery, D.C.: Design and analysis of experiments, John Wiley and Sons, Inc, New York, New York, USA (1976)
7. Salomon, R.: Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions: a survey of some theoretical and practical aspects of genetic algorithms. BioSystems 30 (1996) 263-278