Abstract A spectral-line-extraction algorithm based on the ant-colony is proposed to address difficulty of extracting spectral lines in low signal-to-noise ratio conditions, and problem that results from optimal path falls into local optimization. The applies path-optimization strategy detect a line constructs corresponding mathematical model using grid method. new cost function replace length ...

Ant colony optimisation (ACO) is a commonly used meta-heuristic to solve complex combinatorial problems like the travelling salesman problem (TSP), vehicle routing (VRP) etc. However, classical ACO algorithms provide better optimal solutions but do not reduce computation time overhead significant extent. Algorithmic speed-up can be achieved by using parallelism offered quantum computing. Existi...

Over the last Twenty years, several different techniques have been proposed for computer recognition of human faces. The localization of human faces in digital images is a fundamental step in the process of face recognition. In this paper, a Hybrid algorithm is proposed to detect faces using Ant Colony Optimization and Genetic programming algorithms. Evolutionary process of Ant Colony Optimizat...

In this paper, a web search algorithm is proposed, which aims to enhance the amount of the relevant information in respect to a user’s query. The proposed algorithm is based on the Ant Colony Optimization algorithm (ACO), employing in parallel document similarity issues from the field of information retrieval. Ant Colony Optimization algorithms were inspired through the observation of ant colon...

In view of the problems relating to the precision and convergence rate of traditional ant colony algorithm and fuzzy clustering algorithm on the medical image segmentation, a modified selfadaptive threshold ant colony optimization and fuzzy clustering (SAAF) algorithm were proposed here to realize the segmentation of the complex background medical image. As to the complex medical image, Otsu al...