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Detail publikačního výsledku
SEDLÁŘ, J.
Originální název
Efficient Optimization through Normalized Variable Scaling and Selective Term Pruning
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper presents an innovative pruning algorithm designed to enhance computational efficiency of optimization related tasks by reducing the number of computations. The algo rithm, which is based on optimization variable normalization and subsequent term pruning according to a set relative threshold, offers balance between accuracy and computational complexity of the solution, making it suitable for performance-critical applications. The trade-off between accuracy and complexity in this approach is expressed by metrics of Pareto efficiency and relative efficiency.
Anglický abstrakt
Klíčová slova
selective term pruning, cost function optimiza tion, variable normalization, computational efficiency, system control optimization, model reduction
Klíčová slova v angličtině
Autoři
Rok RIV
2026
Vydáno
30.07.2025
ISBN
978-80-214-6321-9
Kniha
Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers.
Strany počet
3
BibTex
@inproceedings{BUT201524, author="Jan {Sedlář}", title="Efficient Optimization through Normalized Variable Scaling and Selective Term Pruning", booktitle="Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers.", year="2025", pages="3", isbn="978-80-214-6321-9" }