publication . Conference object . Part of book or chapter of book . 2016

Towards Automatic Testing of Reference Point Based Interactive Methods

Vesa Ojalehto; Dmitry Podkopaev; Kaisa Miettinen;
Open Access English
  • Published: 01 Jan 2016
  • Country: Finland
Abstract
In order to understand strengths and weaknesses of optimization algorithms, it is important to have access to different types of test problems, well defined performance indicators and analysis tools. Such tools are widely available for testing evolutionary multiobjective optimization algorithms. To our knowledge, there do not exist tools for analyzing the performance of interactive multiobjective optimization methods based on the reference point approach to communicating preference information. The main barrier to such tools is the involvement of human decision makers into interactive solution processes, which makes the performance of interactive methods depende...
Subjects
free text keywords: ta111, ta113, multiobjective optimization, EMO, testing framework, decision maker’s preferences, preference information, aspiration level, Strengths and weaknesses, Multi-objective optimization, Artificial intelligence, business.industry, business, Analysis tools, Performance indicator, Machine learning, computer.software_genre, computer, Optimization algorithm, Automatic testing, Computer science
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Conference object . 2016
Provider: VIRTA
https://jyx.jyu.fi/bitstream/1...
Part of book or chapter of book
Provider: UnpayWall
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