Buffa, L. M., P. Jaureguiberry, and M. A. Delfino. 2009. Exudate-gathering ants (Hymenoptera: Formicidae) at three different liquid food rewards. Acta Zoológica Mexicana (n. s.), 25(3): 515-526. ABSTRACT. Extrafloral nectaries (EFNs) and hemipteran honeydew are liquid food rewards (FRs) that encourage ant visitation in many plant families in a wide variety of habitats. In this study we explored...

-The ant colony optimization takes insipiration from the foraging behavior of some ant species.These ants deposits pheromone on the ground in order to make some suitable path that should be followed by other members of the colony.The goal of this paper is to introduce ant colony optimization and to survey its most notable applications.In this paper we focus on some research efforts directed at ...

In this paper, we propose a variant of an ACO algorithm called the cunning Ant System (cAS). In cAS, each ant generates a solution by borrowing a part of a solution which was generated in previous iterations, instead of generating the solution entirely from pheromone density. Thus we named it, cunning ant. This cunning action reduces premature stagnation and exhibits good performance in the sea...

This work proposes an algorithm for rule discovery called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is based on recent research on the behavior of real ant colonies as well as in some data mining concepts. We compare the performance of Ant-Miner with the performance of the well-known C4.5 algorithm on six public do...

many real world problems can be modelled as an optimization problem. evolutionary algorithms are used to solve these problems. ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. these ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. ant colony optim...

In order to reduce node consumption and energy balance, this paper puts forward strategies for energy optimization based on improved ant colony algorithms, so that it can extend the effective time of network. This paper uses mechanism of positive feedback and negative feedback to effectively balance data traffic. In addition, it also adopts self-automatic probability transition function based o...

The invasive Argentine ant, Linepithema humile (Mayr), has become a worldwide problem capable of inflicting significant ecological and economic injury on urban, agricultural, and natural environments. The mobility of this pest ant has long been noted, rapidly moving nests to new food resources and then away as resources are depleted. This ant, like many pest ant species, has a special affinity ...

A new concept algorithm based on the Ant Colony Optimization is developed for the use in 2-D and 3-D particle tracking velocimetry (PTV). In the particle matching process of PTV, the Ant Colony Optimization is usually aimed at minimization of the sum of the distances between the first-frame and second-frame particles. But this type of minimization often goes unsuccessfully in the regions where ...

BACKGROUND AND AIMS Myrmecochory is a conspicuous feature of several sclerophyll ecosystems around the world but it has received little attention in the semi-arid areas of South America. This study addresses the importance of seed dispersal by ants in a 2500-km(2) area of the Caatinga ecosystem (north-east Brazil) and investigates ant-derived benefits to the plant through myrmecochory. METHOD...