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

towards automatic testing of reference point based interactive methods

Ojalehto, Vesa; Podkopaev, Dmitry; Miettinen, Kaisa;
Open Access
  • Published: 01 Jan 2016
  • Publisher: Springer International Publishing
  • 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: multiobjective optimization, EMO, testing framework, decision maker’s preferences, preference information, aspiration level, Analysis tools, Optimization algorithm, Machine learning, computer.software_genre, computer, Artificial intelligence, business.industry, business, Computer science, Performance indicator, Multi-objective optimization, Automatic testing, Strengths and weaknesses
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publication . Part of book or chapter of book . Conference object . 2016

towards automatic testing of reference point based interactive methods

Ojalehto, Vesa; Podkopaev, Dmitry; Miettinen, Kaisa;