A collection of robotics problems for benchmarking evolutionary computation methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F23%3APU148221" target="_blank" >RIV/00216305:26210/23:PU148221 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-30229-9_24" target="_blank" >http://dx.doi.org/10.1007/978-3-031-30229-9_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-30229-9_24" target="_blank" >10.1007/978-3-031-30229-9_24</a>
Alternative languages
Result language
angličtina
Original language name
A collection of robotics problems for benchmarking evolutionary computation methods
Original language description
The utilization of benchmarking techniques has a crucial role in the development of novel optimization algorithms, and also in performing comparisons between already existing methods. This is especially true in the field of evolutionary computation, where the theoretical performance of the method is difficult to analyze. For these benchmarking purposes, artificial (or synthetic) functions are currently the most widely used ones. In this paper, we present a collection of real-world robotics problems that can be used for benchmarking evolutionary computation methods. The proposed benchmark problems are a combination of inverse kinematics and path planning in robotics that can be parameterized. We conducted an extensive numerical investigation that encompassed solving 200 benchmark problems by seven selected metaheuristic algorithms. The results of this investigation showed that the proposed benchmark problems are quite difficult (multimodal and non-separable) and that they can be successfully used for differentiating and ranking various metaheuristics.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
26th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023
ISBN
978-3-031-30229-9
ISSN
0302-9743
e-ISSN
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Number of pages
16
Pages from-to
„364 “-„379“
Publisher name
Springer
Place of publication
Cham
Event location
Brno
Event date
Apr 12, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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