default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAmos H. C. Ng
Person information
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-03 21:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
