DocumentCode
1636204
Title
AntTAG: a new method to compose computer programs using colonies of ants
Author
Abbass, Hussein A. ; Hoai, Xuan ; McKay, Robert I.
Author_Institution
Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1654
Lastpage
1659
Abstract
Genetic programming (GP) plays the primary role in the discovery of programs through evolving the program´s set of parse trees. We present a new technique for constructing programs through ant colony optimization (ACO) using the tree adjunct grammar (TAG) formalism. We call the method AntTAG and we show that the results are very promising
Keywords
artificial life; cooperative systems; genetic algorithms; graph grammars; programming; rewriting systems; AntTAG; ant colony optimization; genetic programming; parse trees; program discovery; tree adjunct grammar formalism; tree-rewriting systems; Ant colony optimization; Australia; Computer science; Genetic programming; Insects; Intelligent agent; Particle swarm optimization; Probability distribution; Space exploration; Technical Activities Guide -TAG;
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.2002.1004490
Filename
1004490
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