Foraging in leaf-cutting ants is generally organized along well-defined recruitment trails supporting a bi-directional flow of outbound and nestbound individuals. This study attempts to reveal the priority rules governing the organization of traffic on these trails. Ants were forced to move on a narrow trail, allowing the passage of only two individuals at a time. In this condition, a desynchro...

Many problems in Ad-Hoc network is divided as an optimization problem such as consumption in energy, localization, routing, use of nodes in effective way. To solve these problems set of routing algorithm have been developed based on swarm intelligence. Ant colony algorithm is based on the behavior of ants in swarm intelligence. To enhance the communication we use different protocols and also lo...

0167-8655/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.patrec.2009.03.004 * Corresponding author. Tel.: +91 33 2575 3110; fa E-mail address: [email protected] (A. Ghosh). Ants, bees and other social insects deposit pheromone (a type of chemical) in order to communicate between the members of their community. Pheromone that causes clumping or clustering behavior in a species and brings i...

An image tracking algorithm, which was originally used with the particle image velocimetry (PIV) to determine velocities of buoyant solid particles in water, is modified and applied in the presented work to detect motion of fire ant on a planar surface. A group of fire ant workers are put to the bottom of a tub and excited with vibration of selected frequency and intensity. The moving fire ants...

Collaborative filtering is the most successful and widely used technology in E-commerce recommendation system. However, the traditional collaborative filtering recommendation algorithm faces severe problems of sparse user ratings and poor scalability. Slope One algorithm can reduce the sparsity of ratings, improve the recommendation accuracy, but with the growth of users and items, the running ...

To overcome shortcomings when the ant colony optimization clustering algorithm (ACOC) deal with problem, this paper introduces a novel chaos. The main idea of is to apply chaotic mapping function in two stages optimization: pheromone initialization and update. application phase can encourage ants be distributed as many different initial states possible. Applying update stage add disturbance fac...

This study investigated the effects of the permethrin-impregnated plastic on ant mortality and foraging rates, and tested its potential for preventing ants from colonizing potted soil. Direct exposure to the plastic for as short as 1 min caused significant mortality of both red imported fire ants, Solenopsis invicta Buren, and Argentine ants, Linepithema humile (Mayr); however, red imported fir...

This paper presents a multi-cellular-ant algorithm for large scale capacitated vehicle routing problem with restrictive vehicle capability. The problem is divided into corresponding smaller ones by a decomposition methodology. Relative relationship between subsystems will be solved through cooperative performance among cellular ants to avoid trivial solutions. The empirical results composed wit...

Ant Colony Optimization (ACO) is a well-known metaheuristic in which a colony of artificial ants cooperates in exploring good solutions to a combinatorial optimization problem. In this paper, an ACO algorithm is presented for the graph coloring problem. This ACO algorithm conforms to Max-Min Ant System structure and exploits a local search heuristic to improve its performance. Experimental resu...

We describe an algorithm, inspired by the biological behavior of ants, to efficiently determine intelligent moves and the genetic algorithm used to learn better strategies in a broad class of games. We present a class of games called Simple War Games that includes both deterministic and nondeterministic, perfect information, two-player, zero sum games. Simple War Games have a branching factor a...