Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for attacking hard combinatorial optimization problems. Yet, its performance, when compared to more fine-tuned algorithms, was rather poor for large instances of traditional benchmark problems like the Traveling Salesman Problem. To show that Ant Colony Optimization algorithms could be good alternatives to exi...

The aim of this paper is to introduce a hybrid two-phase algorithm called SW+ ASelite for solving the MTSP which can be explained as the problem of designing collection of routes from one depot to a number of customers subject to side constraints. At the first stage, the MTSP is solved by the sweep algorithm, and at the second stage, the Elite Ant Colony Optimization ( ASelite ) and 3-opt local...

Although the role of IT is salient in sporting mega-events (e.g. instant replay, goal-line technology), IS research has not yet paid any attention to the processes by which technologies are selected for and implemented at these mega-events, the strategies used by actors, nor the consequences of such implementations on actors in related sectors and industries. To tackle this underdeveloped resea...

Ant System is a general purpose heuristic algorithm inspired by the foraging behavior of real ant colonies. Here we introduce an improved version of Ant System, that we called MAX{ MIN Ant System. We describe the new features present in MAX{MIN Ant System, make a detailed experimental investigation on the contribution of the design choices to the improved performance and give computational resu...

Ant System is a general purpose heuristic algorithm inspired by the foraging behavior of real ant colonies. Here we introduce an improved version of Ant System, that we called MAX{ MIN Ant System. We describe the new features present in MAX{MIN Ant System, make a detailed experimental investigation on the contribution of the design choices to the improved performance and give computational resu...

guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of intelligent transportation systems (its). nowadays, many complex systems can be controlled by using multi agent systems. adaptation with the current condition is an important feature of the agents. in this research, formulation of dynamic guidance for vehicles has been investigated based...

This paper introduces one of the most profound Swarm Intelligence-based approaches, namely Ant Colony Optimization (ACO). The different operators in ACO and their effect on the quality of solution are briefly discussed. The ACO algorithms variants like Ant System (AS), Elitist Ant System (EAS), Rankbased Ant System (ASrank), Min-Max based Ant System (MMAS) are detailed. The paper puts forth a s...

Ant colony optimization is a metaheuristic approach belonging to the model based search algorithm. It is a paradigm for designing metaheuristic algorithm for combinatorial problem. In this paper we discuss the Ant colony system. Ant colony system is one of the best algorithm of ant colony optimization. First we discuss the optimization,and one of the optimization problem is combinatiorial probl...