Amos H. C. Ng

According to our database, Amos H. C. Ng authored at least 77 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes].

Henrik Smedberg, Sunith Bandaru, Maria Riveiro, Amos H. C. Ng

IEEE Comput. Intell. Mag., August, 2024

Balancing and scheduling human-robot collaborated assembly lines with layout and objective consideration.

Amir Nourmohammadi, Masood Fathi, Amos H. C. Ng

Comput. Ind. Eng., January, 2024

2023

Reproducible decision support for industrial decision making using a knowledge extraction platform on multi-objective optimisation data.

Simon Lidberg, Amos H. C. Ng

Int. J. Manuf. Res., 2023

2022

Managing virtual factory artifacts in the extended PLM context.

Iman Morshedzadeh, Amos H. C. Ng, Manfred A. Jeusfeld, Jan Oscarsson

J. Ind. Inf. Integr., 2022

An enhanced simulation-based multi-objective optimization approach with knowledge discovery for reconfigurable manufacturing systems.

Carlos Alberto Barrera Diaz, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam, Amos H. C. Ng

CoRR, 2022

Balancing and scheduling assembly lines with human-robot collaboration tasks.

Amir Nourmohammadi, Masood Fathi, Amos H. C. Ng

Comput. Oper. Res., 2022

Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems.

Carlos Alberto Barrera Diaz, Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng

Proceedings of the Winter Simulation Conference, 2022

2021

Integrated locating in-house logistics areas and transport vehicles selection problem in assembly lines.

Amir Nourmohammadi, Hamidreza Eskandari, Masood Fathi, Amos H. C. Ng

Int. J. Prod. Res., 2021

Multi-objective optimisation of tool indexing problem: a mathematical model and a modified genetic algorithm.

Kaveh Amouzgar, Amir Nourmohammadi, Amos H. C. Ng

Int. J. Prod. Res., 2021

Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing.

Ingemar Karlsson, Sunith Bandaru, Amos H. C. Ng

IEEE Access, 2021

Optimizing Reconfigurable Manufacturing Systems for Fluctuating Production Volumes: A Simulation-Based Multi-Objective Approach.

Carlos Alberto Barrera Diaz, Tehseen Aslam, Amos H. C. Ng

IEEE Access, 2021

2020

Bringing together Lean and simulation: a comprehensive review.

Ainhoa Goienetxea Uriarte, Amos H. C. Ng, Matías Urenda Moris

Int. J. Prod. Res., 2020

A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance.

Gary Linnéusson, Amos H. C. Ng, Tehseen Aslam

Eur. J. Oper. Res., 2020

Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach.

Amos H. C. Ng, Jacob Bernedixen, Martin Andersson, Sunith Bandaru, Thomas Lezama

Proceedings of the Winter Simulation Conference, 2020

Multi-Level Optimization with Aggregated Discrete-Event Models.

Simon Lidberg, Tehseen Aslam, Amos H. C. Ng

Proceedings of the Winter Simulation Conference, 2020

Simulation-Based Multi-Objective Optimization for Reconfigurable Manufacturing System Configurations Analysis.

Carlos Alberto Barrera Diaz, Tehseen Aslam, Amos H. C. Ng, Erik Flores-García, Magnus Wiktorsson

Proceedings of the Winter Simulation Conference, 2020

Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space.

Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

An Optimization Model for Balancing Assembly Lines With Stochastic Task Times and Zoning Constraints.

Masood Fathi, Amir Nourmohammadi, Amos H. C. Ng, Anna Syberfeldt

IEEE Access, 2019

Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space.

Sunith Bandaru, Amos H. C. Ng

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018

Parameter tuning evolutionary algorithms for runtime versus cost trade-off in a cloud computing environment.

Martin Andersson, Amos H. C. Ng

Simul. Model. Pract. Theory, 2018

Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement.

Amos H. C. Ng, Florian Siegmund, Kalyanmoy Deb

J. Syst. Inf. Technol., 2018

Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation.

Gary Linnéusson, Amos H. C. Ng, Tehseen Aslam

J. Simulation, 2018

Radial basis functions with a priori bias as surrogate models: A comparative study.

Kaveh Amouzgar, Sunith Bandaru, Amos H. C. Ng

Eng. Appl. Artif. Intell., 2018

Introducing simulation and Optimization in the Lean continuous Improvement Standards in an Automotive Company.

Ainhoa Goienetxea Uriarte, Amos H. C. Ng, Tommy Sellgren, Matías Urenda Moris

Proceedings of the 2018 Winter Simulation Conference, 2018

Using Aggregated discrete Event simulation Models and Multi-objective Optimization to Improve Real-World Factories.

Simon Lidberg, Leif Pehrsson, Amos H. C. Ng

Proceedings of the 2018 Winter Simulation Conference, 2018

An empirical comparison of metamodeling strategies in noisy environments.

Sunith Bandaru, Amos H. C. Ng

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Studying unbalanced workload and buffer allocation of production systems using multi-objective optimisation.

Amos H. C. Ng, Sabry Shaaban, Jacob Bernedixen

Int. J. Prod. Res., 2017

Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey.

Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Expert Syst. Appl., 2017

Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications.

Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Expert Syst. Appl., 2017

Combining augmented reality and simulation-based optimization for decision support in manufacturing.

Ingemar Karlsson, Jacob Bernedixen, Amos H. C. Ng, Leif Pehrsson

Proceedings of the 2017 Winter Simulation Conference, 2017

A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

Combining system dynamics and multi-objective optimization with design space reduction.

Tehseen Aslam, Amos H. C. Ng

Ind. Manag. Data Syst., 2016

Tuning of Multiple Parameter Sets in Evolutionary Algorithms.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs.

Sunith Bandaru, Martin Andersson, Amos H. C. Ng

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Towards optimal algorithmic parameters for simulation-based multi-objective optimization.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Post-analysis of multi-objective optimization solutions using decision trees.

Catarina Dudas, Amos H. C. Ng, Henrik Boström

Intell. Data Anal., 2015

Generalized higher-level automated innovization with application to inventory management.

Sunith Bandaru, Tehseen Aslam, Amos H. C. Ng, Kalyanmoy Deb

Eur. J. Oper. Res., 2015

Lean, simulation and optimization: a win-win combination.

Ainhoa Goienetxea Uriarte, Matías Urenda Moris, Amos H. C. Ng, Jan Oscarsson

Proceedings of the 2015 Winter Simulation Conference, 2015

Aggregated line modeling for simulation and optimization of manufacturing systems.

Leif Pehrsson, Marcus Frantzén, Tehseen Aslam, Amos H. C. Ng

Proceedings of the 2015 Winter Simulation Conference, 2015

An interactive decision support system using simulation-based optimization and data mining.

Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru

Proceedings of the 2015 Winter Simulation Conference, 2015

Production simulation education using rapid modeling and optimization: successful studies.

Marcus Frantzén, Amos H. C. Ng

Proceedings of the 2015 Winter Simulation Conference, 2015

Simulation-based multi-objective bottleneck improvement: towards an automated toolset for industry.

Jacob Bernedixen, Amos H. C. Ng, Leif Pehrsson, Tobias Antonsson

Proceedings of the 2015 Winter Simulation Conference, 2015

On the scalability of meta-models in simulation-based optimization of production systems.

Sunith Bandaru, Amos H. C. Ng

Proceedings of the 2015 Winter Simulation Conference, 2015

Strategy evaluation using system dynamics and multi-objective optimization for an internal supply chain.

Tehseen Aslam, Amos H. C. Ng

Proceedings of the 2015 Winter Simulation Conference, 2015

Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Parameter Tuning of MOEAs Using a Bilevel Optimization Approach.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Parameter tuned CMA-ES on the CEC'15 expensive problems.

Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Integrating system dynamics and multi-objective optimisation for manufacturing supply chain analysis.

Tehseen Aslam, Amos H. C. Ng, Ingemar Karlsson

Int. J. Manuf. Res., 2014

Integration of data mining and multi-objective optimisation for decision support in production systems development.

Catarina Dudas, Amos H. C. Ng, Leif Pehrsson, Henrik Boström

Int. J. Comput. Integr. Manuf., 2014

Multi-objective optimization and analysis of the inventory management model.

Tehseen Aslam, Amos H. C. Ng, Sunith Bandaru

Proceedings of the 2014 Summer Simulation Multiconference, 2014

R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs.

Kalyanmoy Deb, Florian Siegmund, Amos H. C. Ng

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

On the performance of classification algorithms for learning Pareto-dominance relations.

Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

A web-based platform for the simulation-optimization of industrial problems.

Anna Syberfeldt, Ingemar Karlsson, Amos H. C. Ng, Joakim Svantesson, Torgny Almgren

Comput. Ind. Eng., 2013

Industrial cost modelling and multi-objective optimisation for decision support in production systems development.

Leif Pehrsson, Amos H. C. Ng, David Stockton

Comput. Ind. Eng., 2013

Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence.

Amos H. C. Ng, Catarina Dudas, Henrik Boström, Kalyanmoy Deb

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Reference point-based evolutionary multi-objective optimization for industrial systems simulation.

Florian Siegmund, Jacob Bernedixen, Leif Pehrsson, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the Winter Simulation Conference, 2012

Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls.

Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Factory flow design and analysis using internet-enabled simulation-based optimization and automatic model generation.

Amos H. C. Ng, Jacob Bernedixen, Matías Urenda Moris, Mats Jägstam

Proceedings of the Winter Simulation Conference 2011, 2011

Multi-objective Production Systems Optimisation with Investment and Running Cost.

Leif Pehrsson, Amos H. C. Ng, Jacob Bernedixen

Proceedings of the Multi-objective Evolutionary Optimisation for Product Design and Manufacturing., 2011

Simulation-Based Innovization Using Data Mining for Production Systems Analysis.

Amos H. C. Ng, Catarina Dudas, Johannes Nießen, Kalyanmoy Deb

Proceedings of the Multi-objective Evolutionary Optimisation for Product Design and Manufacturing., 2011

Multi-Objective Optimisation in Manufacturing Supply Chain Systems Design: A Comprehensive Survey and New Directions.

Tehseen Aslam, Carl Philip T. Hedenstierna, Amos H. C. Ng, Lihui Wang

Proceedings of the Multi-objective Evolutionary Optimisation for Product Design and Manufacturing., 2011

2010

Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling.

Anna Syberfeldt, Amos H. C. Ng, Robert Ivor John, Philip R. Moore

Eur. J. Oper. Res., 2010

2008

Simulation-based optimization of a complex mail transportation network.

Anna Syberfeldt, Henrik Grimm, Amos H. C. Ng, Martin Andersson, Ingemar Karlsson

Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

Simplification and aggregation strategies applied for factory analysis in conceptual phase using simulation.

Matías Urenda Moris, Amos H. C. Ng, Jacob Svensson

Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

Simulation optimization for industrial scheduling using hybrid genetic representation.

Marcus Andersson, Amos H. C. Ng, Henrik Grimm

Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems.

Anna Syberfeldt, Henrik Grimm, Amos H. C. Ng, Robert Ivor John

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

A web-based simulation optimization system for industrial scheduling.

Marcus Andersson, Henrik Grimm, Anna Persson, Amos H. C. Ng

Proceedings of the Winter Simulation Conference, 2007

Metamodel-Assisted Global Search Using a Probing Technique.

Anna Persson, Henrik Grimm, Amos H. C. Ng

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

Web Services for Metamodel-Assisted Parallel Simulation Optimization.

Amos H. C. Ng, Henrik Grimm, Thomas Lezama, Anna Persson, Marcus Andersson, Mats Jägstam

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006

Simulation-based multi-objective optimization of a real-world scheduling problem.

Anna Persson, Henrik Grimm, Amos H. C. Ng, Thomas Lezama, Jonas Ekberg, Stephan Falk, Peter Stablum

Proceedings of the Winter Simulation Conference WSC 2006, 2006

On-line instrumentation for simulation-based optimization.

Anna Persson, Henrik Grimm, Amos H. C. Ng

Proceedings of the Winter Simulation Conference WSC 2006, 2006

Simulation-based optimisation using local search and neural network metamodels.

Anna Persson, Henrik Grimm, Amos H. C. Ng

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2004

MLAV: the Object-oriented Methodology of the Virtual Automation Lab.

Víctor M. González, Felipe Mateos, Amos H. C. Ng

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

An Integrated Environment for Machine System Simulation, Remote Monitoring and Fault Detection.

Amos H. C. Ng, Leo J. De Vin, Martin Sundberg, Fredrik Oldefors, Philip R. Moore, Sanho Yeo

Proceedings of the ICINCO 2004, 2004