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Entanglement Local Search-Assisted Quantum-Inspired Optimiz..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Kuo, Shu-Yu ; Lai, Yun-Ting ; Jiang, Yu-Chi... - p. 2232-2240 , 2023

Link: https://dl.acm.org/doi/10.1145/3583133.3596370

RT 
T1 <cTitle>Proceedings of the Companion Conference on Genetic and Evolutionary Computation</cTitle>: T1 <Title>Entanglement Local Search-Assisted Quantum-Inspired Optimization for Portfolio Optimization in G20 Markets</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3596370&Exemplar=1&LAN=DE
				
A1 Kuo, Shu-Yu
A1 Lai, Yun-Ting
A1 Jiang, Yu-Chi
A1 Chang, Ming-Ho
A1 Wu, Kun-Min
A1 Chen, Po-Chun
A1 Chang, Yu-Yu
A1 Tong, Yong Feng
A1 Chou, Yao-Hsin
PB ACM
YR 2023
K1 entanglemet local search-assisted technique
K1 quantum-inspired optimization algorithm
K1 trend ratio
K1 group of twenty (G20)
K1 Hardware
K1 Emerging technologies
K1 Quantum technologies
K1 Quantum computation
K1 Mathematics of computing
K1 Mathematical analysis
K1 Mathematical optimization
K1 Discrete optimization
K1 Optimization with randomized search heuristics
K1 Evolutionary algorithms
SP 2232
OP 2240
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583133.3596370
DO https://dl.acm.org/doi/10.1145/3583133.3596370
SF ELIB - SuUB Bremen

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