Ant colony optimization (ACO) is a heuristic algorithm which has been proven a successful
technique and applied to a number of combinatorial optimization problems and is taken as …

Disease Diagnosis still an open problem in current research. The main characteristic of
diseases diagnostic model is that it helps physicians to make quick decisions and minimize …

In this research, the authors want to propose the combination of Ant Colony Optimization
Algorithm and Tabu Search Algorithm as local search to solve Traveling Salesman Problem …

Network intrusion detection gained a lot of attention from the security expert. Intrusion
detection system has been designed for the purpose detecting attack and comprises of …

The current era is known as the age of digital information and general medium of access to
this information is computer networks. The uses of network technology also make …

Over the past short time, network security facing a lot of challenges. Confidentiality, integrity,
and availability are the major concerns of the data. To cope with this problem different …

In this paper, we show a survey of meta-heuristics algorithms based on grou** of animals
by social behavior for the Traveling Salesman Problem, and propose a new classification of …

Ant colony optimization is a simulated evolutionary algorithm which imitates the ants
foraging to determine the shortest path between the anthill and a food source. This is a …

Face recognition was one of the most popular topics in the image and video processing
research fields. It became main attraction by many researcher due to demand from …

ABSTRACT The Travelling Salesman Problem (TSP) is one of the most widely and deeply
studied problems in optimization. It belongs to the category of NP Complete problems in …