Amos H. C. Ng

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 37

Top Topics

Parameter Tuning

Manufacturing Systems

Knowledge Discovery

Top Venues

Int. J. Prod. Res.

Publications

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) (2024)
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 (2024)
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) (2023)
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 (2022)
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)
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 (2022)
Amir Nourmohammadi, Masood Fathi, Amos H. C. Ng
Balancing and scheduling assembly lines with human-robot collaboration tasks. Comput. Oper. Res. 140 (2022)
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) (2021)
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 (2021)
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) (2021)
Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng
Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing. IEEE Access 9 (2021)
Ainhoa Goienetxea Uriarte, Amos H. C. Ng, Matías Urenda Moris
Bringing together Lean and simulation: a comprehensive review. Int. J. Prod. Res. 58 (1) (2020)
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) (2020)
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)
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)
Simon Lidberg, Tehseen Aslam, Amos H. C. Ng
Multi-Level Optimization with Aggregated Discrete-Event Models. WSC (2020)
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)
Sunith Bandaru, Amos H. C. Ng
Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space. EMO (2019)
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 (2019)
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 (2018)
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)
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)
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) (2018)
Sunith Bandaru, Amos H. C. Ng
An empirical comparison of metamodeling strategies in noisy environments. GECCO (2018)
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 (2018)
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) (2018)
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 (2017)
Ingemar Karlsson, Jacob Bernedixen, Amos H. C. Ng, Leif Pehrsson
Combining augmented reality and simulation-based optimization for decision support in manufacturing. WSC (2017)
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 (2017)
Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb
A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization. EMO (2017)
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) (2017)
Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb
Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems. EvoApplications (2) (2016)
Sunith Bandaru, Martin Andersson, Amos H. C. Ng
Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs. CEC (2016)
Tehseen Aslam, Amos H. C. Ng
Combining system dynamics and multi-objective optimization with design space reduction. Ind. Manag. Data Syst. 116 (2) (2016)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng
Tuning of Multiple Parameter Sets in Evolutionary Algorithms. GECCO (2016)
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)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng
Towards optimal algorithmic parameters for simulation-based multi-objective optimization. CEC (2016)
Marcus Frantzén, Amos H. C. Ng
Production simulation education using rapid modeling and optimization: successful studies. WSC (2015)
Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb
Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization. EMO (1) (2015)
Jacob Bernedixen, Amos H. C. Ng, Leif Pehrsson, Tobias Antonsson
Simulation-based multi-objective bottleneck improvement: towards an automated toolset for industry. WSC (2015)
Sunith Bandaru, Amos H. C. Ng
On the scalability of meta-models in simulation-based optimization of production systems. WSC (2015)
Leif Pehrsson, Marcus Frantzén, Tehseen Aslam, Amos H. C. Ng
Aggregated line modeling for simulation and optimization of manufacturing systems. WSC (2015)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt
Parameter Tuning of MOEAs Using a Bilevel Optimization Approach. EMO (1) (2015)
Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt
Parameter tuned CMA-ES on the CEC'15 expensive problems. CEC (2015)
Catarina Dudas, Amos H. C. Ng, Henrik Boström
Post-analysis of multi-objective optimization solutions using decision trees. Intell. Data Anal. 19 (2) (2015)
Tehseen Aslam, Amos H. C. Ng
Strategy evaluation using system dynamics and multi-objective optimization for an internal supply chain. WSC (2015)
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) (2015)
Ainhoa Goienetxea Uriarte, Matías Urenda Moris, Amos H. C. Ng, Jan Oscarsson
Lean, simulation and optimization: a win-win combination. WSC (2015)
Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru
An interactive decision support system using simulation-based optimization and data mining. WSC (2015)
Kalyanmoy Deb, Florian Siegmund, Amos H. C. Ng
R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs. SEMCCO (2014)
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)
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) (2014)
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) (2014)
Tehseen Aslam, Amos H. C. Ng, Sunith Bandaru
Multi-objective optimization and analysis of the inventory management model. SummerSim (2014)
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)
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) (2013)
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)
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) (2013)
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)
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)
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)
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) (2010)
Matías Urenda Moris, Amos H. C. Ng, Jacob Svensson
Simplification and aggregation strategies applied for factory analysis in conceptual phase using simulation. WSC (2008)
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)
Marcus Andersson, Amos H. C. Ng, Henrik Grimm
Simulation optimization for industrial scheduling using hybrid genetic representation. WSC (2008)
Anna Syberfeldt, Henrik Grimm, Amos H. C. Ng, Martin Andersson, Ingemar Karlsson
Simulation-based optimization of a complex mail transportation network. WSC (2008)
Amos H. C. Ng, Henrik Grimm, Thomas Lezama, Anna Persson, Marcus Andersson, Mats Jägstam
Web Services for Metamodel-Assisted Parallel Simulation Optimization. IMECS (2007)
Marcus Andersson, Henrik Grimm, Anna Persson, Amos H. C. Ng
A web-based simulation optimization system for industrial scheduling. WSC (2007)
Anna Persson, Henrik Grimm, Amos H. C. Ng
Metamodel-Assisted Global Search Using a Probing Technique. IMECS (2007)
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)
Anna Persson, Henrik Grimm, Amos H. C. Ng
Simulation-based optimisation using local search and neural network metamodels. Artificial Intelligence and Soft Computing (2006)
Anna Persson, Henrik Grimm, Amos H. C. Ng
On-line instrumentation for simulation-based optimization. WSC (2006)
Víctor M. González, Felipe Mateos, Amos H. C. Ng
MLAV: the Object-oriented Methodology of the Virtual Automation Lab. ICRA (2004)
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)