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A Performance Indic...
A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods
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- Pour, Pouya Aghaei (author)
- Faculty of Information Technology, University of Jyväskylä, Finland
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- Bandaru, Sunith, 1984- (author)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Virtual Production Development (VPD)
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- Afsar, Bekir (author)
- Faculty of Information Technology, University of Jyväskylä, Finland
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- Emmerich, Michael (author)
- Faculty of Science, Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands
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- Miettinen, Kaisa (author)
- Faculty of Information Technology, University of Jyväskylä, Finland
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(creator_code:org_t)
- 2023
- 2023
- English.
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In: IEEE Transactions on Evolutionary Computation. - : IEEE. - 1089-778X .- 1941-0026.
- Related links:
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https://his.diva-por... (primary) (Raw object)
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Abstract
Subject headings
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- In recent years, interactive evolutionary multiobjective optimization methods have been getting more and more attention. In these methods, a decision maker, who is a domain expert, is iteratively involved in the solution process and guides the solution process toward her/his desired region with preference information. However, there have not been many studies regarding the performance evaluation of interactive evolutionary methods. On the other hand, indicators have been developed for a priori methods, where the DM provides preference information before optimization. In the literature, some studies treat interactive evolutionary methods as a series of a priori steps when assessing and comparing them. In such settings, indicators designed for a priori methods can be utilized. In this paper, we propose a novel performance indicator for interactive evolutionary multiobjective optimization methods and show how it can assess the performance of these interactive methods as a whole process and not as a series of separate steps. In addition, we demonstrate the shortcomings of using indicators designed for a priori methods for comparing interactive evolutionary methods. IEEE
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Convergence
- decision making
- hypervolume indicator
- interactive evolutionary algorithms
- Linear programming
- method comparison
- Pareto optimization
- Quality indicators
- Space exploration
- Switches
- Task analysis
- Terminology
- Benchmarking
- Iterative methods
- Job analysis
- Multiobjective optimization
- Pareto principle
- Quality control
- Space research
- Decisions makings
- Hypervolume indicators
- Linear-programming
- Pareto-optimization
- Space explorations
- Virtual Production Development (VPD)
- Virtual Production Development (VPD)
Publication and Content Type
- ref (subject category)
- art (subject category)
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