AntTAG: a new method to compose computer programs using colonies of ants

Authors:
H. A. Abbass;Xuan Hoai;R. I. McKay
Affiliations:
Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia;Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia;Sch. of Comput. Sci., Univ. of New South Wales, Canberra, ACT, Australia
Venue:
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Year:
2002

Citing 0
Cited 13

A Comprehensive Overview of the Applications of Artificial Life

Artificial Life
Evolving encapsulated programs as shared grammars

Genetic Programming and Evolvable Machines
Tree Based Differential Evolution

EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Latent variable model for estimation of distribution algorithm based on a probabilistic context-free grammar

IEEE Transactions on Evolutionary Computation
A linear estimation-of-distribution GP system

EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Grammar-based Genetic Programming: a survey

Genetic Programming and Evolvable Machines
The ant colony optimization algorithm for multiobjective optimization non-compensation model problem staff selection

ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Examining mutation landscapes in grammar based genetic programming

EuroGP'11 Proceedings of the 14th European conference on Genetic programming
The use of strategies of normalized correlation in the ant-based clustering algorithm

SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Multi-Objective ant programming for mining classification rules

EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Artificial bee colony programming for symbolic regression

Information Sciences: an International Journal
Review: a comprehensive overview of the applications of artificial life

Artificial Life
Mining association rules with single and multi-objective grammar guided ant programming

Integrated Computer-Aided Engineering

Quantified Score

Hi-index	0.00

Visualization

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.