DocumentCode :
2080420
Title :
Genetic Algorithms for Hunting Snakes in Hypercubes: Fitness Function Analysis and Open Questions
Author :
Diaz-Gomez, Pedro A. ; Hougen, Dean F.
Author_Institution :
Sch. of Comput. Sci., Oklahoma Univ.
fYear :
2006
fDate :
19-20 June 2006
Firstpage :
389
Lastpage :
394
Abstract :
Hunting for snakes of maximum length in hypercubes has been addressed with non-heuristic methods for hypercubes of dimension less than eight. Above that dimension the problem is intractable because the search grows exponentially with the dimension, which make it an NP-hard problem. Heuristic methods, like genetic algorithms, have been used to solve this kind of problem. We propose different fitness functions to find snakes in hypercubes of dimension greater than three and pose some open questions regarding the number of maximum length snakes in a hypercube of dimension d
Keywords :
computational complexity; genetic algorithms; hypercube networks; NP-hard problem; fitness function analysis; genetic algorithm; hypercubes; snake hunting; Algorithm design and analysis; Biological cells; Codes; Computer science; Genetic algorithms; Hypercubes; Labeling; Laboratories; Robots; Tail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2006. SNPD 2006. Seventh ACIS International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-2611-X
Type :
conf
DOI :
10.1109/SNPD-SAWN.2006.41
Filename :
1640722
Link To Document :
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