the heterogeneous fixed fleet open vehicle routing problem (hffovrp) is one of the most significant extension problems of the open vehicle routing problem (ovrp). the hffovrp is the problem of designing collection routes to a number of predefined nodes by a fixed fleet number of vehicles with various capacities and related costs. in this problem, the vehicle doesn’t return to the depot after se...

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...

Search stagnation is a serious problem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. The framework of Interacted Multiple Ant Colonies Optimization (IMACO) is a recent proposition. It divides the ants’ population into several colonies and employs certain techniques to organize the work of these colonies. This paper proposes new effective e...

-Wireless Sensor Networks (WSN’s) have become an important and challenging research area in last year. Wireless Sensor Networks consisting of nodes with limited power are deployed to gather useful information from the field. In WSNs it is critical to collect the information in an energy efficient manner. Ant Colony Optimization, a swarm intelligence based optimization technique, is widely used ...

Ant algorithms were first written about in 1991 and since then they have been applied to many problems with great success. During these years the algorithms themselves have been modified for improved performance and also been influenced by research in other fields. Since the earliest Ant algorithms, heuristics and local search have been the primary knowledge sources. This thesis asks the questi...

Agents have been employed to improve the performance of an Ant-Based Routing System on a communications network. The Agents use Neural Net based Q-Learning approach to adapt their strategy according to conditions and learn autonomously. They are able to manipulate parameters that affect the behaviour of the Ant-System. The Ant-System is able to find the optimum routing configuration with static...

A hybrid ant colony optimization technique to solve the stagnation problem in grid computing is proposed in this paper. The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit. The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table. This...

The prevalent communications networks suffer from lack of spectrum and spectrum inefficiency. This has motivated researchers to develop cognitive radio (CR) as a smart and dynamic radio access promised solution. A major challenge to this new technology is how to make fair assignment of available spectrum to unlicensed users, particularly for smart grids communication. This paper introduces an i...

INTERFACE is an integrated software implemented in Matlab© and created to speed-up the procedure for building an emotive/expressive talking head. Various processing tools, working on dynamic articulatory data physically extracted by an optotracking 3D movement analyzer called ELITE, were implemented to build the animation engine and also to create the correct WAV and FAP files needed for the an...

This paper overviews origin and some applications of ant system of optimization. Ants live in colonies. The colony can be regarded as a multiagent organization where each agent performs independently as governed by goal of colony survival.. On observing the behavior of ants, Ant-Algorithm was proposed. The ant algorithms have been extensively studied by European researchers. These algorithms ha...