Ant Colony Optimization

IJSIEC is an open access, peer reviewed journal that also includes ant colony optimization articles. The general objective of the International Journal of Swarm Intelligence and Evolutionary Computation is to push innovative work of ant colony optimization by distributing great Research articles and reviews in this quickly developing interdisciplinary field. 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 are known for their high impact factor journals and a section of OMICS Group journals are indexed in the world renowned science database like Medline, PubMed Central, Obscure and Scopus. OMICS acquired as many as 40 reputed journals such as Oral Health and Dental Management and Molecular, genetic Medicine and others. Yet another prominent feature of OMICS Group Publication activities is its alliance with reputed scientific research, academic institutions and International associations, societies as well as world federations. This alliance is paving the way for collaboration in the areas of journal production, review process, quality and subscription management.
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Last date updated on June, 2014

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