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...

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Vydané v:	Applied soft computing Ročník 145; s. 110560
Hlavní autori:	Mu, Lei, Wang, Peng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2023
Predmet:	Energy position Evolutionary algorithms Optimization problem Quantum Monte Carlo Quantum Monte Carlo Energy position Evolutionary algorithms Optimization problem
ISSN:	1568-4946, 1872-9681
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