This proposal shows that ACO systems can be applied to problems of requirements selection in software incremental development, with the idea of obtaining better results of those produced by expert judgment alone. The evaluation of the ACO systems should be done through a compared analysis with greedy and simulated annealing algorithms, performing experiments with some problems instance
Ant Colony Optimization (ACO) is an optimization al-gorithm imitating ant’s feeding action and is ef...
Abstract: The paper gives an overview on the status of the theoretical analysis of Ant Colony Optimi...
The ant colony optimization (ACO) algorithms are multi-agent systems in which the behaviour of each ...
Ant colony optimization (ACO) is a multi-agent heuristic for solving combina-torial optimization pro...
Ant colony optimization (ACO) is an evaluational optimization algorithm inspired by pheromone effect...
Ant Colony Optimization (ACO) was originally developed as an algorithmic technique for tackling NP-h...
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
This study proposes an improved solution algorithm using ant colony optimization (ACO) for finding g...
The presented thesis puts its main focus on the basic optimization algorithms ACO (Ant Colony Optimi...
Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the common...
Ant Colony Optimization (ACO) [31, 32] is a recently proposed metaheuristic ap-proach for solving ha...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algori...
We meet with solving of optimization problems every day, when we try to do our tasks in the best way...
Ant Colony Optimization (ACO) is an optimization al-gorithm imitating ant’s feeding action and is ef...
Abstract: The paper gives an overview on the status of the theoretical analysis of Ant Colony Optimi...
The ant colony optimization (ACO) algorithms are multi-agent systems in which the behaviour of each ...
Ant colony optimization (ACO) is a multi-agent heuristic for solving combina-torial optimization pro...
Ant colony optimization (ACO) is an evaluational optimization algorithm inspired by pheromone effect...
Ant Colony Optimization (ACO) was originally developed as an algorithmic technique for tackling NP-h...
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
This study proposes an improved solution algorithm using ant colony optimization (ACO) for finding g...
The presented thesis puts its main focus on the basic optimization algorithms ACO (Ant Colony Optimi...
Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the common...
Ant Colony Optimization (ACO) [31, 32] is a recently proposed metaheuristic ap-proach for solving ha...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algori...
We meet with solving of optimization problems every day, when we try to do our tasks in the best way...
Ant Colony Optimization (ACO) is an optimization al-gorithm imitating ant’s feeding action and is ef...
Abstract: The paper gives an overview on the status of the theoretical analysis of Ant Colony Optimi...
The ant colony optimization (ACO) algorithms are multi-agent systems in which the behaviour of each ...