Structure identification of fuzzy model
Fuzzy Sets and Systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Emergent colonization and graph partitioning
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
The ant colony optimization meta-heuristic
New ideas in optimization
MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows
New ideas in optimization
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Evolutive Introns: A Non-Costly Method of Using Introns in GP
Genetic Programming and Evolvable Machines
A Survey of Intron Research in Genetics
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Solving Approximation Problems By Ant Colony Programming
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Ant Colony Programming for Approximation Problems
Proceedings of the IIS'2002 Symposium on Intelligent Information Systems
Code growth, explicitly defined introns, and alternative selection schemes
Evolutionary Computation
A study in program response and the negative effects of introns in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
The benefits of computing with introns
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Ant colony programming for approximation problems
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
IEEE Transactions on Neural Networks
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Ant Colony Programming is a relatively new paradigm based on Genetic Programming and Ant Colony System. We discuss the problemof eliminating introns in Ant Colony Programming. The approach is tested on several approximation problems. The test results demonstrate that the proposed method simplifies significantly the achieved solutions and shortens their evaluation time.