Automatic programming is the use of search techniques to find programs that solve a problem. The most commonly explored automatic programming technique is genetic programming, which uses genetic algorithms to carry out the search. In this paper we introduce a new technique called Ant Colony Programming (ACP) which uses an ant colony based search in place of genetic algorithms. This algorithm is described and compared with other approaches in the literature
This study proposes an improved solution algorithm using ant colony optimization (ACO) for finding g...
The purpose of this book is to provide a comprehensive overview of the current state of the art in a...
Ant colony optimization (ACO) algorithms are a recently developed, population-based approach which h...
This thesis presents meta-heuristic based on the behaviour of natural ants looking for food. These h...
Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algori...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
Ant colony optimization (ACO) is a constructive metaheuristic that uses an analogue of ant trail phe...
In recent years, ant colony algorithms have become more popular research topics in the artificial i...
We meet with solving of optimization problems every day, when we try to do our tasks in the best way...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Ant Colony Optimization is a stochastic search method that mimics the social behaviour of real ant c...
Ant algorithms are optimisation algorithms inspired by the foraging behaviour of real ants in the wi...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
This thesis deals with the problem of the Langton's artificial ant task and the use of tree-based an...
This study proposes an improved solution algorithm using ant colony optimization (ACO) for finding g...
The purpose of this book is to provide a comprehensive overview of the current state of the art in a...
Ant colony optimization (ACO) algorithms are a recently developed, population-based approach which h...
This thesis presents meta-heuristic based on the behaviour of natural ants looking for food. These h...
Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algori...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
Ant colony optimization (ACO) is a constructive metaheuristic that uses an analogue of ant trail phe...
In recent years, ant colony algorithms have become more popular research topics in the artificial i...
We meet with solving of optimization problems every day, when we try to do our tasks in the best way...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Ant Colony Optimization is a stochastic search method that mimics the social behaviour of real ant c...
Ant algorithms are optimisation algorithms inspired by the foraging behaviour of real ants in the wi...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
This thesis deals with the problem of the Langton's artificial ant task and the use of tree-based an...
This study proposes an improved solution algorithm using ant colony optimization (ACO) for finding g...
The purpose of this book is to provide a comprehensive overview of the current state of the art in a...
Ant colony optimization (ACO) algorithms are a recently developed, population-based approach which h...