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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Prayogo, Doddy / Santoso, Hasan / Budiman, Franky / Jason, Marcellino (2022): Layout, Topology, and Size Optimization of Steel Frame Design Using Metaheuristic Algorithms: A Comparative Study. In: Civil Engineering Dimension / Dimensi Teknik Sipil, v. 24, n. 1 (22 April 2022).

    https://doi.org/10.9744/ced.24.1.31-37

  2. Pierezan, Juliano / dos Santos Coelho, Leandro / Mariani, Viviana Cocco / Hochsteiner de Vasconcelos Segundo, Emerson / Prayogo, Doddy (2021): Chaotic coyote algorithm applied to truss optimization problems. In: Computers & Structures, v. 242 (January 2021).

    https://doi.org/10.1016/j.compstruc.2020.106353

  3. Cheng, Min-Yuan / Wibowo, Dedy Kurniawan / Prayogo, Doddy / Roy, Andreas F. V. (2015): Predicting Productivity Loss Caused By Change Orders Using the Evolutionary Fuzzy Support Vector Machine Inference Model. In: Journal of Civil Engineering and Management, v. 21, n. 7 (July 2015).

    https://doi.org/10.3846/13923730.2014.893922

  4. Prayogo, Doddy / Kusuma, Christianto Tirta (2019): Optimization of resource leveling problem under multiple objective criteria using a symbiotic organisms search. In: Civil Engineering Dimension / Dimensi Teknik Sipil, v. 21, n. 1 (March 2019).

    https://doi.org/10.9744/ced.21.1.43-49

  5. Prayogo, Doddy / Sutanto, Jessica Chandra / Suryo, Hieronimus Enrico / Eric, Samuel (2018): A Comparative Study on Bio-Inspired Algorithms in Layout Optimization of Construction Site Facilities. In: Civil Engineering Dimension / Dimensi Teknik Sipil, v. 20, n. 2 (October 2018).

    https://doi.org/10.9744/ced.20.2.102-110

  6. Prayogo, Doddy (2018): Metaheuristic-Based Machine Learning System for Prediction of Compressive Strength based on Concrete Mixture Properties and Early-Age Strength Test Results. In: Civil Engineering Dimension / Dimensi Teknik Sipil, v. 20, n. 1 (April 2018).

    https://doi.org/10.9744/ced.20.1.21-29

  7. Cheng, Min-Yuan / Chiu, Yung-Fang / Chiu, Chien-Kuo / Prayogo, Doddy / Wu, Yu-Wei / Hsu, Zih-Long / Lin, Cheng-Hsuan (2019): Risk-based maintenance strategy for deteriorating bridges using a hybrid computational intelligence technique: a case study. In: Structure and Infrastructure Engineering, v. 15, n. 2 (January 2019).

    https://doi.org/10.1080/15732479.2018.1547767

  8. Cheng, Min-Yuan / Prayogo, Doddy (2014): Symbiotic Organisms Search: A new metaheuristic optimization algorithm. In: Computers & Structures, v. 139 (July 2014).

    https://doi.org/10.1016/j.compstruc.2014.03.007

  9. Cheng, Min-Yuan / Prayogo, Doddy / Wu, Yu-Wei (2014): Novel Genetic Algorithm-Based Evolutionary Support Vector Machine for Optimizing High-Performance Concrete Mixture. In: Journal of Computing in Civil Engineering, v. 28, n. 4 (July 2014).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000347

  10. Cheng, Min-Yuan / Prayogo, Doddy / Tran, Duc-Hoc (2016): Optimizing Multiple-Resources Leveling in Multiple Projects Using Discrete Symbiotic Organisms Search. In: Journal of Computing in Civil Engineering, v. 30, n. 3 (May 2016).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000512

  11. Cheng, Min-Yuan / Prayogo, Doddy / Wu, Yu-Wei / Lukito, Martin Marcellinus (2016): A Hybrid Harmony Search algorithm for discrete sizing optimization of truss structure. In: Automation in Construction, v. 69 (September 2016).

    https://doi.org/10.1016/j.autcon.2016.05.023

  12. Prayogo, Doddy / Cheng, Min-Yuan / Wong, Foek Tjong / Tjandra, Daniel / Tran, Duc-Hoc (2018): Optimization model for construction project resource leveling using a novel modified symbiotic organisms search. In: Asian Journal of Civil Engineering, v. 19, n. 5 (April 2018).

    https://doi.org/10.1007/s42107-018-0048-x

  13. Prayogo, Doddy / Cheng, Min-Yuan / Wu, Yu-Wei / Herdany, Albertus Arief / Prayogo, Handy (2018): Differential Big Bang - Big Crunch algorithm for construction-engineering design optimization. In: Automation in Construction, v. 85 (January 2018).

    https://doi.org/10.1016/j.autcon.2017.10.019

  14. Prayogo, Doddy / Susanto, Yudas Tadeus Teddy (2018): Optimizing the Prediction Accuracy of Friction Capacity of Driven Piles in Cohesive Soil Using a Novel Self-Tuning Least Squares Support Vector Machine. In: Advances in Civil Engineering, v. 2018 ( 2018).

    https://doi.org/10.1155/2018/6490169

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