A Quantum-Inspired Predator–Prey Algorithm for Real-Parameter Optimization

Quantum computing has opened up various opportunities for the enhancement of computational power in the coming decades. We can design algorithms inspired by the principles of quantum computing, without implementing in quantum computing infrastructure. In this paper, we present the quantum predator–p...

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Vydané v:	Algorithms Ročník 17; číslo 1; s. 33
Hlavní autori:	Khan, Azal Ahmad, Hussain, Salman, Chandra, Rohitash
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2024
Predmet:	Algorithms Comparative analysis discrete optimization Evolution Foraging behavior Genetic algorithms Linear programming Mathematical optimization metaheuristic optimization Optimization Optimization algorithms Optimization techniques Parameters Predators Quantum computing Quantum physics Germany
ISSN:	1999-4893, 1999-4893
On-line prístup:	Získať plný text
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