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2020 – today
- 2024
[j27]Amir Nourmohammadi
, Masood Fathi, Amos H. C. Ng:
Balancing and scheduling human-robot collaborated assembly lines with layout and objective consideration. Comput. Ind. Eng. 187: 109775 (2024)- [j26]Henrik Smedberg, Sunith Bandaru, Maria Riveiro, Amos H. C. Ng:
Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes]. IEEE Comput. Intell. Mag. 19(3): 73-87 (2024) - 2023
- [j25]Simon Lidberg, Amos H. C. Ng:
Reproducible decision support for industrial decision making using a knowledge extraction platform on multi-objective optimisation data. Int. J. Manuf. Res. 18(4): 454-480 (2023) - 2022
- [j24]Amir Nourmohammadi, Masood Fathi, Amos H. C. Ng:
Balancing and scheduling assembly lines with human-robot collaboration tasks. Comput. Oper. Res. 140: 105674 (2022) - [j23]Iman Morshedzadeh, Amos H. C. Ng, Manfred A. Jeusfeld, Jan Oscarsson:
Managing virtual factory artifacts in the extended PLM context. J. Ind. Inf. Integr. 28: 100369 (2022) - [c46]Carlos Alberto Barrera Diaz, Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng:
Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems. WSC 2022: 1794-1805 - [i1]Carlos Alberto Barrera Diaz, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam, Amos H. C. Ng:
An enhanced simulation-based multi-objective optimization approach with knowledge discovery for reconfigurable manufacturing systems. CoRR abs/2212.00581 (2022) - 2021
- [j22]Carlos Alberto Barrera Diaz, Tehseen Aslam, Amos H. C. Ng:
Optimizing Reconfigurable Manufacturing Systems for Fluctuating Production Volumes: A Simulation-Based Multi-Objective Approach. IEEE Access 9: 144195-144210 (2021) - [j21]Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng:
Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing. IEEE Access 9: 145382-145396 (2021) - [j20]Amir Nourmohammadi, Hamidreza Eskandari, Masood Fathi, Amos H. C. Ng:
Integrated locating in-house logistics areas and transport vehicles selection problem in assembly lines. Int. J. Prod. Res. 59(2): 598-616 (2021) - [j19]Kaveh Amouzgar, Amir Nourmohammadi, Amos H. C. Ng:
Multi-objective optimisation of tool indexing problem: a mathematical model and a modified genetic algorithm. Int. J. Prod. Res. 59(12): 3572-3590 (2021) - 2020
- [j18]Gary Linnéusson, Amos H. C. Ng, Tehseen Aslam:
A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance. Eur. J. Oper. Res. 281(2): 402-414 (2020) - [j17]Ainhoa Goienetxea Uriarte, Amos H. C. Ng, Matías Urenda Moris:
Bringing together Lean and simulation: a comprehensive review. Int. J. Prod. Res. 58(1): 87-117 (2020) - [c45]Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. CEC 2020: 1-8 - [c44]Simon Lidberg, Tehseen Aslam, Amos H. C. Ng:
Multi-Level Optimization with Aggregated Discrete-Event Models. WSC 2020: 1515-1526 - [c43]Carlos Alberto Barrera Diaz, Tehseen Aslam, Amos H. C. Ng, Erik Flores-García, Magnus Wiktorsson:
Simulation-Based Multi-Objective Optimization for Reconfigurable Manufacturing System Configurations Analysis. WSC 2020: 1527-1538 - [c42]Amos H. C. Ng, Jacob Bernedixen, Martin Andersson, Sunith Bandaru, Thomas Lezama:
Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach. WSC 2020: 3045-3056
2010 – 2019
- 2019
- [j16]Masood Fathi, Amir Nourmohammadi, Amos H. C. Ng, Anna Syberfeldt:
An Optimization Model for Balancing Assembly Lines With Stochastic Task Times and Zoning Constraints. IEEE Access 7: 32537-32550 (2019) - [c41]Sunith Bandaru, Amos H. C. Ng:
Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space. EMO 2019: 605-617 - 2018
- [j15]Kaveh Amouzgar, Sunith Bandaru, Amos H. C. Ng:
Radial basis functions with a priori bias as surrogate models: A comparative study. Eng. Appl. Artif. Intell. 71: 28-44 (2018) - [j14]Gary Linnéusson, Amos H. C. Ng, Tehseen Aslam:
Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation. J. Simulation 12(2): 171-189 (2018) - [j13]Amos H. C. Ng, Florian Siegmund, Kalyanmoy Deb:
Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement. J. Syst. Inf. Technol. 20(4): 489-512 (2018) - [j12]Martin Andersson, Amos H. C. Ng:
Parameter tuning evolutionary algorithms for runtime versus cost trade-off in a cloud computing environment. Simul. Model. Pract. Theory 89: 195-205 (2018) - [c40]Sunith Bandaru, Amos H. C. Ng:
An empirical comparison of metamodeling strategies in noisy environments. GECCO 2018: 817-824 - [c39]Simon Lidberg, Leif Pehrsson, Amos H. C. Ng:
Using Aggregated discrete Event simulation Models and Multi-objective Optimization to Improve Real-World Factories. WSC 2018: 2015-2024 - [c38]Ainhoa Goienetxea Uriarte, Amos H. C. Ng, Tommy Sellgren, Matías Urenda Moris:
Introducing simulation and Optimization in the Lean continuous Improvement Standards in an Automotive Company. WSC 2018: 3352-3363 - 2017
- [j11]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications. Expert Syst. Appl. 70: 119-138 (2017) - [j10]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey. Expert Syst. Appl. 70: 139-159 (2017) - [j9]Amos H. C. Ng, Sabry Shaaban, Jacob Bernedixen:
Studying unbalanced workload and buffer allocation of production systems using multi-objective optimisation. Int. J. Prod. Res. 55(24): 7435-7451 (2017) - [c37]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization. EMO 2017: 560-574 - [c36]Ingemar Karlsson, Jacob Bernedixen, Amos H. C. Ng, Leif Pehrsson:
Combining augmented reality and simulation-based optimization for decision support in manufacturing. WSC 2017: 3988-3999 - 2016
- [j8]Tehseen Aslam, Amos H. C. Ng:
Combining system dynamics and multi-objective optimization with design space reduction. Ind. Manag. Data Syst. 116(2): 291-321 (2016) - [c35]Sunith Bandaru, Martin Andersson, Amos H. C. Ng:
Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs. CEC 2016: 1909-1916 - [c34]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems. CEC 2016: 3035-3044 - [c33]Martin Andersson, Sunith Bandaru, Amos H. C. Ng:
Towards optimal algorithmic parameters for simulation-based multi-objective optimization. CEC 2016: 5162-5169 - [c32]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems. EvoApplications (2) 2016: 311-326 - [c31]Martin Andersson, Sunith Bandaru, Amos H. C. Ng:
Tuning of Multiple Parameter Sets in Evolutionary Algorithms. GECCO 2016: 533-540 - 2015
- [j7]Sunith Bandaru, Tehseen Aslam, Amos H. C. Ng, Kalyanmoy Deb:
Generalized higher-level automated innovization with application to inventory management. Eur. J. Oper. Res. 243(2): 480-496 (2015) - [j6]Catarina Dudas, Amos H. C. Ng, Henrik Boström:
Post-analysis of multi-objective optimization solutions using decision trees. Intell. Data Anal. 19(2): 259-278 (2015) - [c30]Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt:
Parameter tuned CMA-ES on the CEC'15 expensive problems. CEC 2015: 1950-1957 - [c29]Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt:
Parameter Tuning of MOEAs Using a Bilevel Optimization Approach. EMO (1) 2015: 233-247 - [c28]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization. EMO (1) 2015: 366-380 - [c27]Tehseen Aslam, Amos H. C. Ng:
Strategy evaluation using system dynamics and multi-objective optimization for an internal supply chain. WSC 2015: 2033-2044 - [c26]Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru:
An interactive decision support system using simulation-based optimization and data mining. WSC 2015: 2112-2123 - [c25]Jacob Bernedixen, Amos H. C. Ng, Leif Pehrsson, Tobias Antonsson:
Simulation-based multi-objective bottleneck improvement: towards an automated toolset for industry. WSC 2015: 2183-2194 - [c24]Ainhoa Goienetxea Uriarte, Matías Urenda Moris, Amos H. C. Ng, Jan Oscarsson:
Lean, simulation and optimization: a win-win combination. WSC 2015: 2227-2238 - [c23]Marcus Frantzén, Amos H. C. Ng:
Production simulation education using rapid modeling and optimization: successful studies. WSC 2015: 3526-3537 - [c22]Leif Pehrsson, Marcus Frantzén, Tehseen Aslam, Amos H. C. Ng:
Aggregated line modeling for simulation and optimization of manufacturing systems. WSC 2015: 3632-3643 - [c21]Sunith Bandaru, Amos H. C. Ng:
On the scalability of meta-models in simulation-based optimization of production systems. WSC 2015: 3644-3655 - 2014
- [j5]Catarina Dudas, Amos H. C. Ng, Leif Pehrsson, Henrik Boström:
Integration of data mining and multi-objective optimisation for decision support in production systems development. Int. J. Comput. Integr. Manuf. 27(9): 824-839 (2014) - [j4]Tehseen Aslam, Amos H. C. Ng, Ingemar Karlsson:
Integrating system dynamics and multi-objective optimisation for manufacturing supply chain analysis. Int. J. Manuf. Res. 9(1): 27-57 (2014) - [c20]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
On the performance of classification algorithms for learning Pareto-dominance relations. IEEE Congress on Evolutionary Computation 2014: 1139-1146 - [c19]Kalyanmoy Deb, Florian Siegmund, Amos H. C. Ng:
R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs. SEMCCO 2014: 98-110 - [c18]Tehseen Aslam, Amos H. C. Ng, Sunith Bandaru:
Multi-objective optimization and analysis of the inventory management model. SummerSim 2014: 14 - 2013
- [j3]Anna Syberfeldt, Ingemar Karlsson, Amos H. C. Ng, Joakim Svantesson, Torgny Almgren:
A web-based platform for the simulation-optimization of industrial problems. Comput. Ind. Eng. 64(4): 987-998 (2013) - [j2]Leif Pehrsson, Amos H. C. Ng, David Stockton:
Industrial cost modelling and multi-objective optimisation for decision support in production systems development. Comput. Ind. Eng. 66(4): 1036-1048 (2013) - [c17]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization. IEEE Congress on Evolutionary Computation 2013: 1826-1835 - [c16]Amos H. C. Ng, Catarina Dudas, Henrik Boström, Kalyanmoy Deb:
Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence. LION 2013: 1-18 - 2012
- [c15]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c14]Florian Siegmund, Jacob Bernedixen, Leif Pehrsson, Amos H. C. Ng, Kalyanmoy Deb:
Reference point-based evolutionary multi-objective optimization for industrial systems simulation. WSC 2012: 130:1-130:11 - 2011
- [c13]Amos H. C. Ng, Jacob Bernedixen, Matías Urenda Moris, Mats Jägstam:
Factory flow design and analysis using internet-enabled simulation-based optimization and automatic model generation. WSC 2011: 2181-2193 - [p3]Tehseen Aslam, Carl Philip T. Hedenstierna, Amos H. C. Ng, Lihui Wang:
Multi-Objective Optimisation in Manufacturing Supply Chain Systems Design: A Comprehensive Survey and New Directions. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 35-70 - [p2]Amos H. C. Ng, Catarina Dudas, Johannes Nießen, Kalyanmoy Deb:
Simulation-Based Innovization Using Data Mining for Production Systems Analysis. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 401-429 - [p1]Leif Pehrsson, Amos H. C. Ng, Jacob Bernedixen:
Multi-objective Production Systems Optimisation with Investment and Running Cost. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 431-453 - [e1]Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb:
Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. Springer 2011, ISBN 978-0-85729-617-7 [contents] - 2010
- [j1]Anna Syberfeldt, Amos H. C. Ng, Robert Ivor John, Philip R. Moore:
Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling. Eur. J. Oper. Res. 204(3): 533-544 (2010)
2000 – 2009
- 2008
- [c12]Anna Syberfeldt, Henrik Grimm, Amos H. C. Ng, Robert Ivor John:
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems. IEEE Congress on Evolutionary Computation 2008: 3177-3184 - [c11]Matías Urenda Moris, Amos H. C. Ng, Jacob Svensson:
Simplification and aggregation strategies applied for factory analysis in conceptual phase using simulation. WSC 2008: 1913-1921 - [c10]Marcus Andersson, Amos H. C. Ng, Henrik Grimm:
Simulation optimization for industrial scheduling using hybrid genetic representation. WSC 2008: 2004-2011 - [c9]Anna Syberfeldt, Henrik Grimm, Amos H. C. Ng, Martin Andersson, Ingemar Karlsson:
Simulation-based optimization of a complex mail transportation network. WSC 2008: 2625-2631 - 2007
- [c8]Anna Persson, Henrik Grimm, Amos H. C. Ng:
Metamodel-Assisted Global Search Using a Probing Technique. IMECS 2007: 83-88 - [c7]Amos H. C. Ng, Henrik Grimm, Thomas Lezama, Anna Persson, Marcus Andersson, Mats Jägstam:
Web Services for Metamodel-Assisted Parallel Simulation Optimization. IMECS 2007: 879-885 - [c6]Marcus Andersson, Henrik Grimm, Anna Persson, Amos H. C. Ng:
A web-based simulation optimization system for industrial scheduling. WSC 2007: 1844-1852 - 2006
- [c5]Anna Persson, Henrik Grimm, Amos H. C. Ng:
Simulation-based optimisation using local search and neural network metamodels. Artificial Intelligence and Soft Computing 2006: 178-183 - [c4]Anna Persson, Henrik Grimm, Amos H. C. Ng:
On-line instrumentation for simulation-based optimization. WSC 2006: 304-311 - [c3]Anna Persson, Henrik Grimm, Amos H. C. Ng, Thomas Lezama, Jonas Ekberg, Stephan Falk, Peter Stablum:
Simulation-based multi-objective optimization of a real-world scheduling problem. WSC 2006: 1757-1764 - 2004
- [c2]Amos H. C. Ng, Leo J. De Vin, Martin Sundberg, Fredrik Oldefors, Philip R. Moore, Sanho Yeo:
An Integrated Environment for Machine System Simulation, Remote Monitoring and Fault Detection. ICINCO (2) 2004: 150-157 - [c1]Víctor M. González, Felipe Mateos, Amos H. C. Ng:
MLAV: the Object-oriented Methodology of the Virtual Automation Lab. ICRA 2004: 5153-5158
Coauthor Index
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last updated on 2024-08-03 20:13 CEST by the dblp team
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