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A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods

Pour, Pouya Aghaei (author)
Faculty of Information Technology, University of Jyväskylä, Finland
Bandaru, Sunith, 1984- (author)
Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Virtual Production Development (VPD)
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
Miettinen, Kaisa (author)
Faculty of Information Technology, University of Jyväskylä, Finland
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 (creator_code:org_t)
2023
2023
English.
In: IEEE Transactions on Evolutionary Computation. - : IEEE. - 1089-778X .- 1941-0026.
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • 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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