Ant Colony Optimization

IJSIEC is one of the Best journals of ant colony optimization to distribute educating, networking, advocating and advancing the field of computer science engineering and Information science engineering internationally. Ant Colony Optimization algorithms (ACO) are a key reference for researchers and each one of those concerned with the improvement and utilization of knowledge related to Swarm Intelligence, Genetic Algorithm and Artificial Intelligence. 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. Open access publisher, OMICS Group International as its motive and goal and has been successful in making its mark in scientific community with 700+ peer-reviewed journals which publishes outstanding original literature, expert database consisting more than 50,000+ editorial board members, 1000+ Scientific associations, 3000+ International Scientific Conferences and publishing more than 13500 articles in a year which are accessible to more than 100000 scholars worldwide through World Wide Web.
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Last date updated on June, 2014

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