Dynamic cost ant colony algorithm to optimize query for distributed database based on quantum-inspired approach

HIGHLIGHTS

  • who: Sayed A. Mohsin and collaborators from the Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University have published the research: Dynamic Cost Ant Colony Algorithm to Optimize Query for Distributed Database Based on Quantum-Inspired Approach, in the Journal: Symmetry 2021, 70 of /2021/
  • what: The authors proposed a novel ACO methodology based on the quantum-inspired paradigm to optimize a query by finding the best execution path, in terms of cost, for running query on distributed database. In the model , the average cost that is obtained by QIACO gives a . . .

     

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