Doddy Prayogo
Title
Cited by
Cited by
Year
Symbiotic organisms search: a new metaheuristic optimization algorithm
MY Cheng, D Prayogo
Computers & Structures 139, 98-112, 2014
7912014
A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time–cost–labor utilization tradeoff problem
DH Tran, MY Cheng, D Prayogo
Knowledge-Based Systems 94, 132-145, 2016
1072016
A Hybrid Harmony Search algorithm for discrete sizing optimization of truss structure
MY Cheng, D Prayogo, YW Wu, MM Lukito
Automation in Construction 69, 21-33, 2016
1002016
Optimizing multiple-resources leveling in multiple projects using discrete symbiotic organisms search
MY Cheng, D Prayogo, DH Tran
Journal of Computing in Civil Engineering 30 (3), 04015036, 2016
932016
Symbiotic organisms search algorithm: theory, recent advances and applications
AE Ezugwu, D Prayogo
Expert Systems with Applications 119, 184-209, 2019
582019
High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT)
MY Cheng, PM Firdausi, D Prayogo
Engineering Applications of Artificial Intelligence 29, 104-113, 2014
582014
Structural optimization using multi-objective modified adaptive symbiotic organisms search
GG Tejani, N Pholdee, S Bureerat, D Prayogo, AH Gandomi
Expert Systems with Applications 125, 425-441, 2019
432019
Novel genetic algorithm-based evolutionary support vector machine for optimizing high-performance concrete mixture
MY Cheng, D Prayogo, YW Wu
Journal of Computing in Civil Engineering 28 (4), 06014003, 2014
432014
A novel fuzzy adaptive teaching–learning-based optimization (FATLBO) for solving structural optimization problems
MY Cheng, D Prayogo
Engineering with Computers 33 (1), 55-69, 2017
362017
Multiobjective adaptive symbiotic organisms search for truss optimization problems
GG Tejani, N Pholdee, S Bureerat, D Prayogo
Knowledge-based systems 161, 398-414, 2018
352018
A novel implementation of nature-inspired optimization for civil engineering: a comparative study of symbiotic organisms search
D Prayogo, MY Cheng, H Prayogo
Civil Engineering Dimension 19 (1), 36-43, 2017
352017
Optimizing the prediction accuracy of friction capacity of driven piles in cohesive soil using a novel self-tuning least squares support vector machine
D Prayogo, YTT Susanto
Advances in Civil Engineering 2018, 2018
332018
Predicting productivity loss caused by change orders using the evolutionary fuzzy support vector machine inference model
MY Cheng, DK Wibowo, D Prayogo, AFV Roy
Journal of Civil Engineering and Management 21 (7), 881-892, 2015
332015
Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search–least squares support vector regression
MY Cheng, D Prayogo, YW Wu
Neural Computing and Applications 31 (10), 6261-6273, 2019
322019
SOS optimization model for bridge life cycle risk evaluation and maintenance strategies
MY Cheng, CK Chiu, YF Chiu, YW Wu, ZL Syu, D Prayogo, CH Lin
Journal of the Chinese Institute of Civil and Hydraulic Engineering 26 (4 …, 2014
272014
Differential Big Bang-Big Crunch algorithm for construction-engineering design optimization
D Prayogo, MY Cheng, YW Wu, AA Herdany, H Prayogo
Automation in Construction 85, 290-304, 2018
242018
Optimization model for construction project resource leveling using a novel modified symbiotic organisms search
D Prayogo, MY Cheng, FT Wong, D Tjandra, DH Tran
Asian Journal of Civil Engineering 19 (5), 625-638, 2018
222018
Fuzzy adaptive teaching–learning-based optimization for global numerical optimization
MY Cheng, D Prayogo
Neural Computing and Applications 29 (2), 309-327, 2018
212018
Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine
MY Cheng, D Prayogo, YH Ju, YW Wu, S Sutanto
International Journal of Green Energy 13 (15), 1599-1607, 2016
172016
Modeling the permanent deformation behavior of asphalt mixtures using a novel hybrid computational intelligence
MY Cheng, D Prayogo
Modeling the Permanent Deformation Behavior of Asphalt Mixtures Using a …, 2016
162016
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