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Abstract
This paper introduces approximate analytic quality criteria useful in assessing the efficiency of evolutionary multi-objective optimization (EMO) procedures. We present a summary of extensive research into computing. In the performed comparative study we take into account the various approaches of the state-of-the-art, in order to objectively assess the EMO performance in highly dimensional spaces; where some executive criteria, such as those based on the true Pareto front, are difficult to calculate. Whereas, on the other hand, the proposed approximated quality criteria are easy to implement, computationally inexpensive, and sufficiently effective.
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- Accepted or Published Version
- License
- Copyright (Springer International Publishing AG 2018)
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Advanced Solutions in Diagnostics and Fault Tolerant Control. DPS 2017 strony 1 - 12
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Kowalczuk Z., Białaszewski T.: Approximate Quality Criteria for Difficult Multi-Objective Optimization Problems// / ed. Kościelny J.M., Syfert M., Sztyber A. : Springer, 2017, s.1-12
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-64474-5_17
- Verified by:
- Gdańsk University of Technology
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