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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004490
