Applications of the Ant Colony Optimization (ACO) to solve image processing problem with a reference to a new automatic enhancement technique based on real-coded particle ant colony is proposed in this paper. The enhancement process is a non-linear optimization problem with several constraints. The objective of the proposed ACO is to maximize an objective fitness criterion in order to enhance t...

-This paper aims to produce the best Learning Object (LO) for the learners in e-learning based on the learner characteristics. Delivery of optimal learning objects is a challenging task because the learning object (e.g. learning content, materials) should be suitable for learner’s knowledge. To forecast the best learning objects, the Ant Colony Optimization (ACO) with learner characteristics ha...

introduction cities and neighborhoods in iran couldn’t adjust themselves to quick changes of the recent decades and have lost their quality in many aspects. due to poor planning and governance at the regional and urban design on physical function, rapid growth of large-scale migrations and inefficient policies and procedures in dealing with urban neighborhoods neglected urban neighborhoods as w...

Isolation of a recessive aco (androcarpel organ) mutation in opium poppy Papaver somniferum, is described. The aco (aco aco) mutant plants form androcarpels in place of inner whorl stamens in their flowers. The abnormal flowers are self-fertile, as stamens in the outer whorl are normal. In aco mutant the calyx, corolla and syncarpous gynoecium are formed like in the wild type ACO plants. The an...

INTRODUCTION Cell count in induced sputum is a noninvasive biomarker to assess airway inflammation phenotypes. Accordingly, sputum cell counts are extensively used in the treatment of asthma and COPD. Nevertheless, the clinical application of sputum cell counts in patients with asthma-COPD overlap (ACO) remains elusive. The aim of this study was to investigate sputum cell counts in patients wit...

The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning have been focused on clustering, where ACO-based techniques have showed a great potential. At the same time, new clustering techniques that se...

In this paper, optimal placement of Phasor Measurement Unit (PMU) using Global Positioning System (GPS) is discussed. Ant Colony Optimization (ACO), Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used for this problem. Pheromone evaporation coefficient and the probability of moving from state x to state y by ant are introduced into the ACO. The modifi...