A parameterless performance metric for reference-point based multi-objective evolutionary algorithms. - Sunith Bandaru; Henrik Smedberg (GECCO, 2019)

Knowledge-driven reference-point based multi-objective optimization: first results. - Henrik Smedberg (GECCO (Companion), 2019)

Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. - Henrik Smedberg; Sunith Bandaru; Amos H. C. Ng; Kalyanmoy Deb (CEC, 2020)

Finding Influential Variables in Multi-Objective optimization Problems. - Henrik Smedberg; Sunith Bandaru (SSCI, 2020)

A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms. - Henrik Smedberg; Sunith Bandaru (CEC, 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 (WSC, 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)

Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization. - Henrik Smedberg; Sunith Bandaru (Eur. J. Oper. Res., 2023)

Knowledge discovery for interactive decision support and knowledge-driven optimization - Henrik Smedberg (2023)

Erratum to "Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization" [European Journal of Operational Research 306 (2023) 1311-1329]. - Henrik Smedberg; Sunith Bandaru (Eur. J. Oper. Res., 2023)

Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes]. - Henrik Smedberg; Sunith Bandaru; Maria Riveiro 001; Amos H. C. Ng (IEEE Comput. Intell. Mag., 2024)