A creativity-support tool for the creation of nonphotorealistic renderings of images is described. It employs an evolutionary algorithm that evolves the parameters governing the behavior of ant species, and the paintings are produced by simulating the behavior of these artificial ants. The design of fitness functions, using both behavioral and image features is discussed, emphasizing the ration...

Ant colony algorithms have become recently popular in solving many optimization problems because of their collaborative decentralized behavior that mimics the behavior of real ants when foraging for food. Recommender systems present an optimization problem in which they aim to accurately predict a user’s rating for an unseen item by trying to find similar users in the network. Trust-based recom...

When solving a combinatorial optimization problem with the Ant Colony Optimization (ACO) metaheuristic, one usually has to find a compromise between guiding or diversifying the search. Indeed, ACO uses pheromone to attract ants. When increasing the sensibility of ants to pheromone, they converge quicker towards a solution but, as a counterpart, they usually find worse solutions. In this paper, ...

Ants can use visual information to guide long idiosyncratic routes and accurately pinpoint locations in complex natural environments. It has often been assumed that the world knowledge of these foragers consists of multiple discrete views that are retrieved sequentially for breaking routes into sections controlling approaches to a goal. Here we challenge this idea by using a model of visual nav...

Understanding of the organization of animal societies often requires knowledge of the identity of group members and their spatial location. We propose an original experimental design to track automatically the position of individuals using radio frequency identification technology (RFID). Ants equipped with passive transponders were detected by a reader mounted on a mobile arm moving across the...

Efficiently routing in a dynamic network is a important problem in ad hoc network according to development of personal data assistant (PDA) and wireless network equipment. However conventional routing algorithm is difficult to apply to dynamic topology network. Q-Routing, DRQ-Routing and Ants-Routing which are based on reinforcement learning technique are proposed. But convergence speed and rou...

We show for the first time, to our knowledge, that ants can measure the size of potential nest sites. Nest size assessment is by individual scouts. Such scouts always make more than one visit to a potential nest before initiating an emigration of their nest mates and they deploy individual-specific trails within the potential new nest on their first visit. We test three alternative hypotheses f...

Neuroimage registration is crucial for brain morphometric analysis and treatment efficacy evaluation. However, existing advanced registration algorithms such as FLIRT and ANTs are not efficient enough for clinical use. In this paper, a GPU implementation of FLIRT with the correlation ratio (CR) as the similarity metric and a GPU accelerated correlation coefficient (CC) calculation for the symme...

A deterministic model for Ant Colony Optimization (ACO) algorithms is proposed and used to study the dynamics of ACO. The model is based on the average expected behaviour of ants. The behaviour of ACO algorithms and the model are analysed for certain types of permutation problems. It is shown numerically that decisions of the ants are inuenced in an intriguing way by the properties of the phero...

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...