Entanglement-Enhanced Quantum-Inspired Tabu Search Algorithm for Function Optimization

Many metaheuristic algorithms have been proposed to solve combinatorial and numerical optimization problems. Most optimization problems have high dependence, meaning that variables are strongly dependent on one another. If a method were to attempt to optimize each variable independently, its perform...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Shu-Yu Kuo, Yao-Hsin Chou
Format: Article
Language:English
Published: IEEE 2017-01-01
Subjects:
Quantum-inspired tabu search (QTS)
quantum entanglement
metaheuristic algorithms
function optimization
Online Access:https://ieeexplore.ieee.org/document/7968262/

Internet

https://ieeexplore.ieee.org/document/7968262/

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