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2020 – today
- 2024
[j64]Min-Yuan Cheng
, Riqi Radian Khasani:
Moment balanced machine: a new supervised inference engine for on-site construction productivity prediction. Appl. Intell. 54(7): 5441-5464 (2024)- [j63]Min-Yuan Cheng, Riqi Radian Khasani:
Least Square Moment Balanced Machine: A New Approach To Estimating Cost To Completion For Construction Projects. J. Inf. Technol. Constr. 29: 503-524 (2024) - [j62]Min-Yuan Cheng, Akhmad F. K. Khitam:
Symbiotic Operation Forest (SOF): A novel approach to supervised machine learning. Swarm Evol. Comput. 86: 101532 (2024) - 2023
- [j61]Min-Yuan Cheng, Riqi Radian Khasani, Richard Jordan Citra:
Image-based preliminary emergency assessment of damaged buildings after earthquake: Taiwan case studies. Eng. Appl. Artif. Intell. 126(Part D): 107164 (2023) - [j60]Min-Yuan Cheng, Minh-Tu Cao, Ngoc-Mai Dao-Thi:
A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design. Expert Syst. Appl. 212: 118605 (2023) - [j59]Min-Yuan Cheng, Moh Nur Sholeh:
Optical microscope algorithm: A new metaheuristic inspired by microscope magnification for solving engineering optimization problems. Knowl. Based Syst. 279: 110939 (2023) - [j58]Min-Yuan Cheng, Minh-Tu Cao, Christian Kentaro Nuralim:
Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity. J. Supercomput. 79(4): 4468-4492 (2023) - 2021
- [j57]Min-Yuan Cheng, Richard Antoni Gosno:
SOS 2.0: an evolutionary approach for SOS algorithm. Evol. Intell. 14(4): 1965-1983 (2021) - [j56]Min-Yuan Cheng, Richard Antoni Gosno:
Symbiotic polyhedron operation tree (SPOT) for elastic modulus formulation of recycled aggregate concrete. Eng. Comput. 37(4): 3205-3220 (2021) - [j55]Min-Yuan Cheng, Minh-Tu Cao, Po-Kun Tsai:
Predicting load on ground anchor using a metaheuristic optimized least squares support vector regression model: a Taiwan case study. J. Comput. Des. Eng. 8(1): 268-282 (2021) - 2020
- [j54]Doddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, A. A. N. Perwira Redi, Vincent F. Yu, Satria Fadil Persada, Reny Nadlifatin:
A Novel Hybrid Metaheuristic Algorithm for Optimization of Construction Management Site Layout Planning. Algorithms 13(5): 117 (2020) - [j53]Doddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, Duc-Hoc Tran:
Combining machine learning models via adaptive ensemble weighting for prediction of shear capacity of reinforced-concrete deep beams. Eng. Comput. 36(3): 1135-1153 (2020) - [j52]Min-Yuan Cheng, Yu-Wei Wu, Chin-Chi Huang:
Hybrid Gaussian Process Inference Model for Construction Management Decision Making. Int. J. Inf. Technol. Decis. Mak. 19(4): 1015-1036 (2020)
2010 – 2019
- 2019
- [j51]Min-Yuan Cheng, Nai-Wen Chang:
Dynamic construction material layout planning optimization model by integrating 4D BIM. Eng. Comput. 35(2): 703-720 (2019) - [j50]Min-Yuan Cheng, Doddy Prayogo, Yu-Wei Wu:
Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search-least squares support vector regression. Neural Comput. Appl. 31(10): 6261-6273 (2019) - [j49]Min-Yuan Cheng, Doddy Prayogo, Yu-Wei Wu:
A self-tuning least squares support vector machine for estimating the pavement rutting behavior of asphalt mixtures. Soft Comput. 23(17): 7755-7768 (2019) - 2018
- [j48]Min-Yuan Cheng, Doddy Prayogo:
Fuzzy adaptive teaching-learning-based optimization for global numerical optimization. Neural Comput. Appl. 29(2): 309-327 (2018) - [j47]Min-Yuan Cheng, Nhat-Duc Hoang:
Estimating construction duration of diaphragm wall using firefly-tuned least squares support vector machine. Neural Comput. Appl. 30(8): 2489-2497 (2018) - 2017
- [j46]Min-Yuan Cheng, Doddy Prayogo:
A novel fuzzy adaptive teaching-learning-based optimization (FATLBO) for solving structural optimization problems. Eng. Comput. 33(1): 55-69 (2017) - [j45]Min-Yuan Cheng, Jui-Sheng Chou, Minh-Tu Cao:
Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance. Soft Comput. 21(2): 477-489 (2017) - 2016
- [j44]Min-Yuan Cheng, Nhat-Duc Hoang:
A Self-Adaptive Fuzzy Inference Model Based on Least Squares SVM for Estimating Compressive Strength of Rubberized Concrete. Int. J. Inf. Technol. Decis. Mak. 15(3): 603-620 (2016) - [j43]Min-Yuan Cheng, Nhat-Duc Hoang:
Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan. J. Comput. Civ. Eng. 30(1) (2016) - [j42]Min-Yuan Cheng, Doddy Prayogo, Duc-Hoc Tran:
Optimizing Multiple-Resources Leveling in Multiple Projects Using Discrete Symbiotic Organisms Search. J. Comput. Civ. Eng. 30(3) (2016) - [j41]Duc-Hoc Tran, Min-Yuan Cheng, Minh-Tu Cao:
Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution. J. Comput. Civ. Eng. 30(4) (2016) - [j40]Duc-Hoc Tran, Min-Yuan Cheng, Doddy Prayogo:
A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time-cost-labor utilization tradeoff problem. Knowl. Based Syst. 94: 132-145 (2016) - 2015
- [j39]Min-Yuan Cheng, Minh-Tu Cao, Yu-Wei Wu:
Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network. J. Comput. Civ. Eng. 29(5) (2015) - [j38]Min-Yuan Cheng, Duc-Hoc Tran:
Opposition-Based Multiple-Objective Differential Evolution to Solve the Time-Cost-Environment Impact Trade-Off Problem in Construction Projects. J. Comput. Civ. Eng. 29(5) (2015) - [j37]Duc-Hoc Tran, Min-Yuan Cheng, Minh-Tu Cao:
Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem. Knowl. Based Syst. 74: 176-186 (2015) - [j36]Min-Yuan Cheng, Nhat-Duc Hoang:
A Swarm-Optimized Fuzzy Instance-based Learning approach for predicting slope collapses in mountain roads. Knowl. Based Syst. 76: 256-263 (2015) - [j35]Min-Yuan Cheng, Nhat-Duc Hoang:
Evaluating Contractor Financial Status Using a Hybrid Fuzzy Instance Based Classifier: Case Study in the Construction Industry. IEEE Trans. Engineering Management 62(2): 184-192 (2015) - 2014
- [j34]Min-Yuan Cheng, Yu-Wei Wu, Ruei-fu Syu:
Seismic Assessment of Bridge Diagnostic in Taiwan Using the Evolutionary Support Vector Machine Inference Model (ESIM). Appl. Artif. Intell. 28(5): 449-469 (2014) - [j33]Min-Yuan Cheng, Minh-Tu Cao:
Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines. Appl. Soft Comput. 22: 178-188 (2014) - [j32]Min-Yuan Cheng, Minh-Tu Cao:
Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams. Eng. Appl. Artif. Intell. 28: 86-96 (2014) - [j31]Min-Yuan Cheng, Pratama Mahardika Firdausi, Doddy Prayogo:
High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT). Eng. Appl. Artif. Intell. 29: 104-113 (2014) - [j30]Jui-Sheng Chou, Min-Yuan Cheng, Yu-Wei Wu, Anh-Duc Pham:
Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification. Expert Syst. Appl. 41(8): 3955-3964 (2014) - [j29]Min-Yuan Cheng, Nhat-Duc Hoang:
Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine. J. Comput. Civ. Eng. 28(3) (2014) - [j28]Min-Yuan Cheng, Nhat-Duc Hoang:
Groutability Estimation of Grouting Processes with Microfine Cements Using an Evolutionary Instance-Based Learning Approach. J. Comput. Civ. Eng. 28(4) (2014) - [j27]Min-Yuan Cheng, Doddy Prayogo, Yu-Wei Wu:
Novel Genetic Algorithm-Based Evolutionary Support Vector Machine for Optimizing High-Performance Concrete Mixture. J. Comput. Civ. Eng. 28(4) (2014) - [j26]Min-Yuan Cheng, Nhat-Duc Hoang, Lisayuri Limanto, Yu-Wei Wu:
A novel hybrid intelligent approach for contractor default status prediction. Knowl. Based Syst. 71: 314-321 (2014) - [j25]Min-Yuan Cheng, Duc-Hoc Tran:
Two-Phase Differential Evolution for the Multiobjective Optimization of Time-Cost Tradeoffs in Resource-Constrained Construction Projects. IEEE Trans. Engineering Management 61(3): 450-461 (2014) - 2013
- [j24]Jui-Sheng Chou, Min-Yuan Cheng, Yu-Wei Wu:
Improving classification accuracy of project dispute resolution using hybrid artificial intelligence and support vector machine models. Expert Syst. Appl. 40(6): 2263-2274 (2013) - [j23]Min-Yuan Cheng, Yu-Wei Wu, Le Trung Dan, Andreas F. van Roy:
Enhanced Time-dependent Evolutionary Fuzzy Support Vector Machines Inference Model for Cash Flow Prediction and estimate at Completion. Int. J. Inf. Technol. Decis. Mak. 12(4): 679-710 (2013) - 2012
- [j22]Min-Yuan Cheng, Yu-Wei Wu:
Improved Construction Subcontractor Evaluation Performance Using ESIM. Appl. Artif. Intell. 26(3): 261-273 (2012) - [j21]Min-Yuan Cheng, Kuo-Yu Huang, Hung-Ming Chen:
K-means particle swarm optimization with embedded chaotic search for solving multidimensional problems. Appl. Math. Comput. 219(6): 3091-3099 (2012) - [j20]Min-Yuan Cheng, Nhat-Duc Hoang, Andreas F. von Roy, Yu-Wei Wu:
A novel time-depended evolutionary fuzzy SVM inference model for estimating construction project at completion. Eng. Appl. Artif. Intell. 25(4): 744-752 (2012) - [j19]Min-Yuan Cheng, Andreas F. von Roy, Kuan-Lin Chen:
Evolutionary risk preference inference model using fuzzy support vector machine for road slope collapse prediction. Expert Syst. Appl. 39(2): 1737-1746 (2012) - [j18]Ching-Shan Chen, Min-Yuan Cheng, Yu-Wei Wu:
Seismic assessment of school buildings in Taiwan using the evolutionary support vector machine inference system. Expert Syst. Appl. 39(4): 4102-4110 (2012) - [j17]Li-Chuan Lien, Min-Yuan Cheng:
A hybrid swarm intelligence based particle-bee algorithm for construction site layout optimization. Expert Syst. Appl. 39(10): 9642-9650 (2012) - [j16]Min-Yuan Cheng, Li-Chuan Lien:
A hybrid AI-based particle bee algorithm for facility layout optimization. Eng. Comput. 28(1): 57-69 (2012) - [j15]Min-Yuan Cheng, Li-Chuan Lien:
Hybrid Artificial Intelligence-Based PBA for Benchmark Functions and Facility Layout Design Optimization. J. Comput. Civ. Eng. 26(5): 612-624 (2012) - [j14]Min-Yuan Cheng, Kuo-Yu Huang, Hung-Ming Chen:
Dynamic guiding particle swarm optimization with embedded chaotic search for solving multidimensional problems. Optim. Lett. 6(4): 719-729 (2012) - [j13]Tao Sun, Woo-Tae Park, Min-Yuan Cheng, Jing-Zhi An, Rui-Feng Xue, Kwan-Ling Tan, Minkyu Je:
Implantable Polyimide Cable for Multichannel High-Data-Rate Neural Recording Microsystems. IEEE Trans. Biomed. Eng. 59(2): 390-399 (2012) - 2011
- [j12]Min-Yuan Cheng, Hsien-Sheng Peng, Yu-Wei Wu, Yi-Hung Liao:
Decision making for contractor insurance deductible using the evolutionary support vector machines inference model. Expert Syst. Appl. 38(6): 6547-6555 (2011) - [j11]Jui-Sheng Chou, Min-Yuan Cheng, Yu-Wei Wu, Yian Tai:
Predicting high-tech equipment fabrication cost with a novel evolutionary SVM inference model. Expert Syst. Appl. 38(7): 8571-8579 (2011) - [j10]Min-Yuan Cheng, Hsing-Chih Tsai, Kai-Hsiang Chuang:
Supporting international entry decisions for construction firms using fuzzy preference relations and cumulative prospect theory. Expert Syst. Appl. 38(12): 15151-15158 (2011) - 2010
- [j9]Min-Yuan Cheng, Hsing-Chih Tsai, Erick Sudjono:
Evolutionary fuzzy hybrid neural network for project cash flow control. Eng. Appl. Artif. Intell. 23(4): 604-613 (2010) - [j8]Min-Yuan Cheng, Hsing-Chih Tsai, Erick Sudjono:
Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry. Expert Syst. Appl. 37(6): 4224-4231 (2010) - [j7]Min-Yuan Cheng, Andreas F. von Roy:
Evolutionary fuzzy decision model for construction management using support vector machine. Expert Syst. Appl. 37(8): 6061-6069 (2010)
2000 – 2009
- 2009
- [j6]Min-Yuan Cheng, Hsing-Chih Tsai, Yi-Hsiang Chiu:
Fuzzy case-based reasoning for coping with construction disputes. Expert Syst. Appl. 36(2): 4106-4113 (2009) - [j5]Min-Yuan Cheng, Chin-Jung Huang:
A Novel Approach for Treating Uncertain Rule-based Knowledge Conflicts. J. Inf. Sci. Eng. 25(2): 649-663 (2009) - 2008
- [j4]Min-Yuan Cheng, Chin-Jung Huang:
Value-added treatment inference model for rule-based certainty knowledge. Expert Syst. Appl. 34(2): 1250-1265 (2008) - [j3]Chin-Jung Huang, Min-Yuan Cheng:
Conflicting treatment model for certainty rule-based knowledge. Expert Syst. Appl. 35(1-2): 161-176 (2008) - [j2]Chin-Jung Huang, Min-Yuan Cheng:
Similarity Measurement of Rule-based Knowledge using Conditional Probability. J. Inf. Sci. Eng. 24(3): 769-784 (2008) - 2006
- [j1]Min-Yuan Cheng, Chien-Ho Ko:
A genetic-fuzzy-neuro model encodes FNNs using SWRM and BRM. Eng. Appl. Artif. Intell. 19(8): 891-903 (2006) - [c2]Chin-Jung Huang, Min-Yuan Cheng:
Using Conditional Probability to Measure Rule-based Knowledge Similarity. SEKE 2006: 41-44 - [c1]Chin-Jung Huang, Min-Yuan Cheng:
A New Method of Value-Adding Treatment Inference for Rule-based Uncertainty Knowledge. SEKE 2006: 51-56
Coauthor Index
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