DocumentCode
1637222
Title
Evolutionary programming to optimize an assembly program
Author
Blaha, Brian ; Wunsch, Don
Author_Institution
Dept. of Comput. Eng., Missouri Univ., Rolla, MO, USA
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1901
Lastpage
1903
Abstract
Evolutionary programming was used to attempt to optimize a program written in the pseudo-assembly language Redcode, invented by A.K. Dewdney. Corewars is the game under which Redcode programs compete. Since 1994, the last standardization of Redcode, many complicated, effective Redcode programs have been written by people, but intense study is required to learn the nuances of the language and perfect programs. Since this is such a difficult task, evolutionary techniques may outperform humans. Multiple point, variable length crossover and change, insert, and delete mutations were the operators used. Relative fitnesses were calculated within a subset of the population on remote client computers. A food model was used to select the most fit programs. Current results are preliminary, but already one of the resulting programs wins 38% and ties 29% against a common type of human-written program. The best performance is 151 wins, 49 losses, and 0 ties against a typical human program
Keywords
assembly language; evolutionary computation; programming; Corewars game; Redcode; assembly program optimization; evolutionary programming; food model; population fitness; pseudo-assembly language; remote client computers; standardization; variable length crossover; Assembly; Computational intelligence; Genetic mutations; Genetic programming; Humans; Laboratories; Performance loss; Spirals; Standardization; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004533
Filename
1004533
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