Quantum-inspired optimization algorithm with adaptive correction of energy position: Methodology and a case study

Efficient and stable global optimizers constitute a noteworthy arena of academic study and real-world applications. Since Multi-scale Quantum Harmonic Oscillator Algorithm inspired by the quantum motion for solving optimization problems was proposed, considerable contributions regarding this algorit...

Full description

Bibliographic Details

Published in:	Applied soft computing Vol. 145; p. 110560
Main Authors:	Mu, Lei, Wang, Peng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2023
Subjects:	Energy position Evolutionary algorithms Optimization problem Quantum Monte Carlo Quantum Monte Carlo Energy position Evolutionary algorithms Optimization problem
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!