In this paper, we propose an ant-based algorithm for dynamic routing and wavelength assignment (RWA) in WDM optical networks under the wavelength continuity constraint. By adopting a new routing table structure and keeping a number of ants in the network to cooperatively explore the network states and continuously update the routing tables, our new ant algorithm can efficiently support the ants...

One of the most important micro engineers of the terrestrial ecosystems, especially in the arid areas is the harvester ants due to their activity in the soil through nest building; they can make major changes while influencing the surface and subsurface in the rangeland soil. The purpose of this study was to investigate the effects of harvester ants (Messor spp.) on some soil properties in Rood...

The article is devoted to the study and development of modified bioinspired algorithm and the experimental studies of its characteristics to solve the travelling salesman problem. This algorithm is part of the swarm intelligence method, which is one of bioinspired approaches describing the collective behavior of a decentralized self-organizing system and consists of a multitude of agents (ants)...

water conveyance systems (wcss) are costly infrastructures in terms of materials, construction, maintenance and energy requirements. much attention has been given to the application of optimization methods to minimize the costs associated with such infrastructures. historically, traditional optimization techniques have been used, such as linear and non-linear programming. in this paper, applica...

Ant Colony Optimization (ACO) algorithms tend to be isolated processes. When applying ACO principles to traffic route calculations, ants exploring the traffic network on behalf of a vehicle typically only perceive and apply pheromones related to that vehicle. Between ants exploring on behalf of different vehicles little cooperation exists. While such cooperation could improve the performance of...

Antnet is a software agent based routing algorithm that is influenced by the unsophisticated and individual ants emergent behaviour. In real life, ants deposit some kind of chemical substance to mark the path that they used. Then on their way back they choose the path with the most pheromones which becomes the shortest path. Ants (nothing but software agents) in antnet are used to collect traff...

Ants are fascinating creatures that demonstrate the ability to find food and bring it back to their nest. Their ability as a colony, to find paths to food sources has inspired the development of algorithms known as Ant Colony Systems (ACS). The principle of cooperation forms the backbone of such algorithms, commonly used to find solutions to problems such as the Traveling Salesman Problem (TSP)...

We compare the ants algorithm for graph coloring recently pro posed by Costa and Hertz with the repeated Recursive Largest First algorithm and with a Petford Welsh type algorithm In our experi ments the later is much better than the rst two

1 Email: [email protected] ABSTRACT This paper describes how the Ant System can be improved by selfadaptation of its controlling parameters. Adaptation is achieved by integrating a genetic algorithm with the ant system and maintaining a population of agents (ants) that have been used to generate solutions. These agents have behavior that is inspired by the foraging activities of ants, wi...