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2020 – today
- 2024
[j3]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
- [j2]Henrik Smedberg, Sunith Bandaru:
Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization. Eur. J. Oper. Res. 306(3): 1311-1329 (2023) - [j1]Henrik Smedberg, Sunith Bandaru:
Erratum to "Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization" [European Journal of Operational Research 306 (2023) 1311-1329]. Eur. J. Oper. Res. 308(1): 496-497 (2023) - 2022
- [c6]Henrik Smedberg, Sunith Bandaru:
A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms. CEC 2022: 1-8 - [c5]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) - 2020
- [c4]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 - [c3]Henrik Smedberg, Sunith Bandaru:
Finding Influential Variables in Multi-Objective optimization Problems. SSCI 2020: 173-180
2010 – 2019
- 2019
- [c2]Sunith Bandaru, Henrik Smedberg:
A parameterless performance metric for reference-point based multi-objective evolutionary algorithms. GECCO 2019: 499-506 - [c1]Henrik Smedberg:
Knowledge-driven reference-point based multi-objective optimization: first results. GECCO (Companion) 2019: 2060-2063
Coauthor Index
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