The Fast Forward Quantum Optimization Algorithm: A study of convergence and novel unconstrained optimization

The Fast Forward Quantum Optimization Algorithm (FFQOA) is a novel quantum-inspired heuristic search algorithm, drawing inspiration from the movement and displacement activities of wavefunctions associated with quantum particles. This algorithm has demonstrated remarkable effectiveness in predicting...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering Jg. 443; S. 118039
1. Verfasser:	Singh, Pritpal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2025
Schlagworte:	Convergence analysis Fast forward quantum optimization algorithm (FFQOA) Performance evaluation Unconstrained optimization functions Wavefunctions Performance evaluation Unconstrained optimization functions Wavefunctions Fast forward quantum optimization algorithm (FFQOA) Convergence analysis
ISSN:	0045-7825
Online-Zugang:	Volltext
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