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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

摘要:Practitioners of multi-objective optimization currently lack open tools that provide decision support through knowledge discovery. There exist many software platforms for multi-objective optimization,...
关键词: Knowledge discovery |  Data visualization |  Programming |  Decision making |  Data mining |  MCDM |  Optimization methods |  Interactive systems |  User experience |  Decision support systems

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

摘要:Although an entire frontier of Pareto-optimal solutions exists for multi-objective optimization problems, in practice, decision makers are often only interested in a small subset of these solutions, c...
关键词: Evolutionary computation |  Benchmark testing |  Knowledge discovery |  Optimization |  Convergence

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

摘要:Due to the nature of today's manufacturing industry, where enterprises are subjected to frequent changes and volatile markets, reconfigurable manufacturing systems (RMS) are crucial when addressing ra...
关键词: Manufacturing industries |  Decision making |  Production |  Knowledge discovery |  Workstations |  Data mining |  Task analysis

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

摘要:The use of evolutionary algorithms for solving multi-objective optimization problems leaves the decision makers with a set of Pareto-optimal solutions to be considered in their decision making. Multi-...
关键词: Optimization |  Clustering algorithms |  Aerospace electronics |  Object recognition |  Decision making |  Production systems |  Market research

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

摘要:Practical multi-criterion decision making not only involves the articulation of preferences in the objective space, but also a consideration of how the variables impact these preferences. Trend mining...
关键词: Multi-objective optimization |  Variable trends |  Objective space |  Decision making

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

摘要:Practical multi-criterion decision making not only involves the articulation of preferences in the objective space, but also a consideration of how the variables impact these preferences. Trend mining...
关键词: multi-objective optimization |  variable trends |  objective space |  decision making
NSTL主题词: Automation |  mining |  Variable
检索条件作者:Henrik Smedberg
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