Quantum-inspired evolutionary algorithms on continuous space multiobjective problems

Author:

Olvera Cynthia,Montiel OscarORCID,Rubio Yoshio

Funder

Secretaría de Investigación y Posgrado, Instituto Politécnico Nacional

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference64 articles.

1. Abdel-Basset M, Abdel-Fatah L, Sangaiah AK (2018) Chapter 10 - metaheuristic algorithms: a comprehensive review. In: Sangaiah AK, Sheng M, Zhang Z (eds) Computational intelligence for multimedia big data on the cloud with engineering applications. Academic Press, Intelligent Data-Centric Systems, pp 185–231 (10.1016/B978-0-12-813314-9.00010-4)

2. Bharti K, Cervera-Lierta A, Kyaw TH, et al (2021) Noisy intermediate-scale quantum (nisq) algorithms arxiv:2101.08448

3. Binh TT, Korn U (1997) Mobes: a multiobjective evolution strategy for constrained optimization problems In: In Proceedings of the third international Conference on Genetic Algorithms (Mendel97), Brno, Czech Republic, pp 176–182

4. Cao B, Fan S, Zhao J et al (2020) Quantum-enhanced multiobjective large-scale optimization via parallelism. Swarm Evolut Comput 57(100):697. https://doi.org/10.1016/j.swevo.2020.100697

5. Chancellor N, Cumming R, Thomas T (2020) Toward a standardized methodology for constructing quantum computing use cases arxiv:2006.05846

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