Ant Colony Optimization

IJSIEC is one of the top journals of ant colony optimization. It provides computer science scientists and researchers throughout the world with current frontier research advances in the field. Coverage includes ant colony optimization algorithm for Electrical engineering, computer science engineering, Information science engineering and its applications. In computer science engineering, the ant colony optimization algorithm (ACO) is a probabilistic technique that can be used to find approximate solutions to difficult optimization problems and for solving computational problems which can be reduced to finding good paths through graphs. Software agents are called as artificial ants in ACO. It is a population-based metaheuristic. OMICS Group Journals encourages original and well researched articles for publication. With the help of a strong 25, 000 experts as editorial board members and reviewers, OMICS Group journals uphold the standard review process. We have more than 50,000+ editorial board members and more than 15 million readers. It has more than 700+ peer-reviewed journals and organizes more than 3000+ International Scientific Conferences.
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Last date updated on June, 2014

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