Quantum-inspired space search algorithm (QSSA) for global numerical optimization

DOI10.1016/J.AMC.2011.07.067zbMath1243.65070OpenAlexW2021000492MaRDI QIDQ425439

Jyh-Ching Juang, Tzyy-Chyang Lu

Publication date: 8 June 2012

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2011.07.067

zbMATH Keywords

convergencenumerical exampleslocal search algorithmevolutionary computationnumerical optimizationglobal search algorithmoverlapping strategyquantum-inspired space search algorithm

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Stochastic programming (90C15) Quantum computation (81P68)

Related Items (1)

Combinatorial GVNS (general variable neighborhood search) optimization for dynamic garbage collection

Uses Software

• CMA-ES
• CEC 05

Cites Work

• Unnamed Item
• Improved particle swarm algorithms for global optimization
• Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation

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