Search Results - "Many-objective evolutionary algorithms"

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  1. 1

    An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences

    Authors: Rivera, G. Cruz-Reyes, L. Fernández, E. et al.

    Subject Terms: Ant Colony Optimization, Interval numbers, Many-objective evolutionary algorithms, Outranking approach, Preference incorporation

    File Description: application/pdf

    Relation: https://www.sciencedirect.com/science/article/pii/S2210650222001778; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001142-S; https://hdl.handle.net/20.500.11824/1665

    Availability: https://hdl.handle.net/20.500.11824/1665
    https://doi.org/10.1016/j.swevo.2022.101211

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  2. 2

    Evaluating the choice of radial basis functions in multiobjective optimal control applications

    Authors: Jazmin Zatarain Salazar Jan H. Kwakkel Mark Witvliet

    Source: Environmental Modelling & Software. 171:105889

    Subject Terms: 0208 environmental biotechnology, Direct policy search, Global approximators, Water resources management, 0207 environmental engineering, 02 engineering and technology, Many Objective Evolutionary Algorithms

    Access URL: http://resolver.tudelft.nl/uuid:6047e0c7-382a-47c3-ad09-2eecf2115de5

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  3. 3

    Performance Evaluation Metrics for Multi-Objective Evolutionary Algorithms in Search-Based Software Engineering: Systematic Literature Review

    Authors: Jamal Abdullahi Nuh Tieng Wei Koh Salmi Baharom et al.

    Source: Applied Sciences, Vol 11, Iss 3117, p 3117 (2021)

    Subject Terms: search-based software engineering, multi-objective evolutionary algorithms, many-objective evolutionary algorithms, performance metrics, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

    Relation: https://www.mdpi.com/2076-3417/11/7/3117; https://doaj.org/toc/2076-3417; https://doaj.org/article/ad3bfa2174d54e77bd52b55eaf77471b

    Availability: https://doi.org/10.3390/app11073117
    https://doaj.org/article/ad3bfa2174d54e77bd52b55eaf77471b

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  4. 4

    A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems

    Authors: Karkazan, Kalthoum Topçuoğlu, Haluk Rahmi Shaaban, Sahmoud et al.

    Contributors: Karkazan, Kalthoum Topçuoğlu, Haluk Rahmi Shaaban, Sahmoud et al.

    Subject Terms: Dynamic Many-Objective Optimization, Many-Objective Evolutionary Algorithms, Change Detection, Predictionbased Optimization

    File Description: application/pdf

    Relation: 16th International Joint Conference on Computational Intelligence; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/11352/5128; 279; 287

    Availability: https://hdl.handle.net/11352/5128

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  5. 5

    Evolutionary composition of QoS-aware web services: A many-objective perspective

    Authors: Aurora Ramírez José Antonio Parejo José Raúl Romero et al.

    Source: Ramírez, A., Parejo, J. A., Romero, J. R., Segura, S., & Ruiz-Cortés, A. (2017). Evolutionary composition of QoS-aware web services: A many-objective perspective. Expert Systems With Applications, 72, 357-370. https://doi.org/10.1016/j.eswa.2016.10.047
    Helvia. Repositorio Institucional de la Universidad de Córdoba
    Universidad de Córdoba

    Subject Terms: Multi-objective optimization, Many-objective evolutionary algorithms, QoS-aware web service composition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

    File Description: application/pdf

    Access URL: https://idus.us.es/bitstream/11441/60652/1/evolutionary-composition-qos%20%281%29.pdf
    http://hdl.handle.net/10396/29116
    https://www.sciencedirect.com/science/article/pii/S0957417416305887
    https://doi.org/10.1016/j.eswa.2016.10.047
    https://idus.us.es/handle/11441/60652
    https://idus.us.es/bitstream/11441/60652/1/evolutionary-composition-qos%20%281%29.pdf
    http://www.sciencedirect.com/science/article/pii/S0957417416305887
    https://dblp.uni-trier.de/db/journals/eswa/eswa72.html#RamirezPRSC17
    https://hdl.handle.net/10396/29116

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  6. 6

    A comparative study of many-objective evolutionary algorithms for the discovery of software architectures

    Authors: Ramírez, Aurora Romero, José Raúl Ventura Soto, S.

    Source: Ramírez, A., Romero, J. R., & Ventura, S. (2016). A comparative study of many-objective evolutionary algorithms for the discovery of software architectures. Empirical Software Engineering, 21(6), 2546-2600. https://doi.org/10.1007/s10664-015-9399-z
    Helvia. Repositorio Institucional de la Universidad de Córdoba
    Universidad de Córdoba

    Subject Terms: Many-objective evolutionary algorithms, Software architecture discovery, Search based software engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Multi-objective evolutionary algorithms

    File Description: application/pdf

    Access URL: http://hdl.handle.net/10396/29115
    https://hdl.handle.net/10396/29115

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  7. 7

    Evolutionary composition of QoS-aware web services: a many-objective perspective

    Authors: Ramírez, Aurora Parejo Maestre, José Antonio Romero, José Raúl et al.

    Contributors: Ramírez, Aurora Parejo Maestre, José Antonio Romero, José Raúl et al.

    Subject Terms: QoS-aware web service composition, Many-objective evolutionary algorithms, Multi-objective optimization

    Relation: Expert Systems with Applications, 72 (15 april), 357-370.; P12-TIC-1867; TIN2012-32273; TIC-5906; TIN2014-55252-P; TIN2015- 71841-REDT; FPU13/01466; http://www.sciencedirect.com/science/article/pii/S0957417416305887; https://idus.us.es/handle/11441/60652

    Availability: https://idus.us.es/handle/11441/60652

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  8. 8

    Evaluating the choice of radial basis functions in multiobjective optimal control applications

    Authors: Zatarain Salazar, J. (author) Kwakkel, J.H. (author) Witvliet, Mark (author)

    Index Terms: Direct policy search, Global approximators, Many Objective Evolutionary Algorithms, Water resources management, journal article

    URL: http://resolver.tudelft.nl/uuid:6047e0c7-382a-47c3-ad09-2eecf2115de5
    http://www.scopus.com/inward/record.url?scp=85178388154&partnerID=8YFLogxK
    http://www.scopus.com/inward/record.url?scp=85178388154&partnerID=8YFLogxK
    Environmental Modelling & Software--1364-8152--c29c6fd8-66b9-4414-a148-c101ba36dd50

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  9. 9

    Evolutionary composition of QoS-aware web services: a many-objective perspective

    Authors: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. TIC205: Ingeniería del Software Aplicada Ramírez, Aurora et al.

    Index Terms: QoS-aware web service composition, Many-objective evolutionary algorithms, Multi-objective optimization, info:eu-repo/semantics/article

    URL: http://hdl.handle.net/11441/60652
    http://www.sciencedirect.com/science/article/pii/S0957417416305887
    Expert Systems with Applications, 72 (15 april), 357-370.
    P12-TIC-1867
    TIN2012-32273
    TIC-5906
    TIN2014-55252-P
    TIN2015- 71841-REDT
    FPU13/01466
    http://www.sciencedirect.com/science/article/pii/S0957417416305887

    View this record from OAIster Nájsť tento článok vo Web of Science
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