Qiaco: a quantum dynamic cost ant system for query optimization in distributed database

HIGHLIGHTS

  • who: SAYED A. MOHSIN et al. from the of Information Technology, Institute of Graduate Studies Research, Alexandria University, Alexandria, Egypt have published the Article: QIACO: A Quantum Dynamic Cost Ant System for Query Optimization in Distributed Database, in the Journal: (JOURNAL)
  • what: This version of the paper provides a more comprehensive and systematic report of the previous work. The major component of the model described in the following sections. The authors proposed a novel ACO methodology based on the quantum-inspired paradigm to optimize a query by finding the best execution path, in term of . . .

     

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