Ant-Q is an algorithm belonging to the class of ant colony based methods, that is, of combinatorial optimization methods in which a set of simple agents, called ants, cooperate to find good solutions to combinatorial optimization problems. The main focus of this article is on the experimental study of the sensitivity of the Ant-Q algorithm to its parameters and on the investigation of synergist...

Feminist methodologies and Actor-Network Theory (ANT) have often been considered opposing theoretical and intellectual traditions. This paper imagines a conversation between these seemingly divergent fields and considers the theoretical and methodological challenges that ANT and particular branches of feminist thought raise for the other. This paper examines an empirical project that calls for ...

Parasitic Maculinea alcon butterflies can only develop in nests of a subset of available Myrmica ant species, so female butterflies have been hypothesized to preferentially lay eggs on plants close to colonies of the correct host ants. Previous correlational investigations of host-ant-dependent oviposition in this and other Maculinea species have, however, shown equivocal results, leading to a ...

Water distribution systems (WDSs) are costly infrastructure, and much attention has been given to the application of optimisation methods to minimise design costs. In previous studies, Ant Colony Optimisation (ACO) has been found to perform extremely competitively for WDS optimisation. In this paper, five ACO algorithms are tested: one basic algorithm (Ant System) and four more advanced algorit...

Ant colony algorithm is a metaheuristic algorithm which uses nature for finding solutions. Ant colony algorithm, by its performing behavior we know ant performs a series of routes as followed by deposition of pheromones. It is one of the algorithms used in Swarm Intelligence. Other Swarm Intelligence algorithm performs operation on the basis of collection behavior of ants, insects, birds, flies...

the aim of the present paper is to sbo» that anti-realism in science, 1vhich has a1;guab/y become more fashionable in recentyears, contrary to tuha: its proponents assert, cannot make use of quantum mechanics and its impressiue achievements as a frump card in justifying its claims. i will argue that scientific anti-realism far from providing scientific communiry with a progressive methodologica...

the classification and regression trees (cart) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. in spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.in the other words methods present high variance. fuzzy logic brings in an improvement in theseaspects due ...

UNLABELLED Recently, the somatostatin receptor subtype 2 (SSTR2) selective antagonist sst2-ANT was determined to have a high affinity for SSTR2. Additionally, 111In-1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid-sst2-ANT showed high uptake in an SSTR2-transfected, tumor-bearing mouse model and suggested that radiolabeled SSTR2 antagonists may be superior to agonists for imaging SSTR2-...