Ant Colony Optimization (ACO) is a meta-heuristic that has been applied to a diverse set of optimization problems. Problems formulated using ACO have the beneficial quality that solutions are generally constructed making it possible to incorporate constraints during the construction process. Recently, problems in the telecommunications domain have utilized ACO heuristics for routing and fault localization. This paper describes an application of ACO to the network synthesis problem that shows promising results
The problem of communication design has been defined as one of the problems that belong to the categ...
Wireless network is a major research domain in the past few decades. Wireless network evolves in man...
Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the common...
Ant colony optimisation is a relatively new meta-heuristic search technique for solving optimisation...
Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization pr...
Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization pr...
Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization pr...
The article defines Ant Colony Optimization algorithm (ACO), its place among the fields of artificia...
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
This work explores the heuristic optimization algorithm based on ant colonies (ACO), deployed on com...
This paper overviews recent work on ant algorithms, that is, algorithms for discrete optimization wh...
Successful applications coming from biologically inspired algorithm like Ant Colony Optimization (AC...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
Ant colony optimization (ACO) has been proposed as a promising tool for adaptive routing in telecomm...
Ant Colony Optimization (ACO) [31, 32] is a recently proposed metaheuristic ap-proach for solving ha...
The problem of communication design has been defined as one of the problems that belong to the categ...
Wireless network is a major research domain in the past few decades. Wireless network evolves in man...
Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the common...
Ant colony optimisation is a relatively new meta-heuristic search technique for solving optimisation...
Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization pr...
Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization pr...
Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization pr...
The article defines Ant Colony Optimization algorithm (ACO), its place among the fields of artificia...
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
This work explores the heuristic optimization algorithm based on ant colonies (ACO), deployed on com...
This paper overviews recent work on ant algorithms, that is, algorithms for discrete optimization wh...
Successful applications coming from biologically inspired algorithm like Ant Colony Optimization (AC...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
Ant colony optimization (ACO) has been proposed as a promising tool for adaptive routing in telecomm...
Ant Colony Optimization (ACO) [31, 32] is a recently proposed metaheuristic ap-proach for solving ha...
The problem of communication design has been defined as one of the problems that belong to the categ...
Wireless network is a major research domain in the past few decades. Wireless network evolves in man...
Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the common...