Research
Study of Mathematical Model and Ant Colony Optimization (ACO)
In this paper we define those mathematical notions and terms that are useful about ACO and the relationships between ACO and other frameworks for optimization and control. This chapter defines and discusses the characteristics of: (i) the combinatorial optimization problems addressed by ACO, (ii) construction heuristics for combinatorial problems, (iii) the equivalence between solution construction and sequential decision process (iv) the graphical tools (state graph and construction graph) that can be used to represent and reason on the structure and dynamics of construction processes.
Study and Analysis of Ant System
Alot of species of ants have a trail-laying/trailfollowing behavior when foraging. While moving, individual ants deposit on the ground a volatile chemical substance called pheromone, forming in this way pheromone trails. Ants can smell pheromone and, when choosing their way, they tend to choose, in probability, the paths marked by stronger pheromone concentrations. In this way they create a sort of attractive potential field, the pheromone trails allows the ants to find their way back to food sources (or to the nest). Also, they can be used by other ants to find the location of the food sources discovered by their nest mates.
Study of Routing Protocols in Telecommunication Networks
In this paper we have discussed the problem of routing in telecommunication networks and the salient characteristics of some of the most popular routing schemes. In particular, we have discussed the characteristics of adaptive and multipath routing solutions versus static and single-path strategies.
