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1. Mimer: A Web-Based Tool for Knowledge Discovery in Multi-Criteria Decision Support [Application Notes] NSTL国家科技图书文献中心
Henrik Smedberg | Sunith Bandaru... - 《IEEE computational intelligence magazine》 - 2024,19(3) - 73~87 - 共15页
2. A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms NSTL国家科技图书文献中心
Henrik Smedberg | Sunith Bandaru - 《2022 IEEE Congress on Evolutionary Computation: CEC 2022, Padua, Italy, 18-23 July 2022, [v.1]》 - IEEE Congress on Evolutionary Computation - 2022, - 1~8 - 共8页
3. Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems NSTL国家科技图书文献中心
Carlos Alberto Barre... | Henrik Smedberg... - 《2022 Winter Simulation Conference: WSC 2022, Singapore, 11-14 December 2022, [v.1]》 - Winter Simulation Conference - 2022, - 1794~1805 - 共12页
4. Finding Influential Variables in Multi-Objective optimization Problems NSTL国家科技图书文献中心
Henrik Smedberg | Sunith Bandaru - 《2020 IEEE Symposium Series on Computational Intelligence: IEEE Symposium Series on Computational Intelligence (SSCI 2020), 1-4 Dec. 2020, Canberra, Australia》 - IEEE Symposium Series on Computational Intelligence - 2020, - 173~180 - 共8页
5. Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space NSTL国家科技图书文献中心
Henrik Smedberg | Sunith Bandaru... - 《2020 IEEE Congress on Evolutionary Computation: CEC 2020, Glasgow, United Kingdom, 19-24 July 2020, [v.4]》 - IEEE Congress on Evolutionary Computation - 2020, - 2659~2666 - 共8页
6. Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space NSTL国家科技图书文献中心
Henrik Smedberg | Sunith Bandaru... - 《2020 IEEE Congress on Evolutionary Computation: IEEE Congress on Evolutionary Computation (CEC), 19-24 July 2020, Glasgow, United Kingdom》 - IEEE Congress on Evolutionary Computation - 2020, - 1~8 - 共8页
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