A quantum mutation-based backtracking search algorithm

Volume: 55, Issue: 4, Pages: 3019 - 3073
Published: Oct 5, 2021
Abstract
The exposition of any nature-inspired optimization technique relies firmly upon its executed organized framework. Since the regularly utilized backtracking search algorithm (BSA) is a fixed framework, it is not always appropriate for all difficulty levels of problems and, in this manner, probably does not search the entire search space proficiently. To address this limitation, we propose a modified BSA framework, called gQR-BSA, based on the...
Paper Details
Title
A quantum mutation-based backtracking search algorithm
Published Date
Oct 5, 2021
Volume
55
Issue
4
Pages
3019 - 3073
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.