Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ladislav Dobrovsky"'
Publikováno v:
Mendel, Vol 26, Iss 1 (2020)
This work investigates the locomotion efficiency of snake-like robots through evolutionary optimization using the simulation framework PhysX (NVIDIA). The Genetic Algorithm (GA) is used to find the optimal forward head serpentine gait parameters, and
Externí odkaz:
https://doaj.org/article/c5819d0721fa4cedb8044ff8c20f237b
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 13, Iss 2, Pp 151-164 (2022)
The Quadratic Assignment Problem (QAP) is one of the classical combinatorial optimization problems and is known for its diverse applications. The QAP is an NP-hard optimization problem which attracts the use of heuristic or metaheuristic algorithms t
Externí odkaz:
https://doaj.org/article/25eda26523024a1dbc1c9df36a9b3e51
Autor:
Monika Dosoudilova, Tomas Marada, Anna Kucerova, Daniel Zuth, Pavel Osmera senior, Pavel Osmera junior, Jan Muller, Ladislav Dobrovsky
Publikováno v:
Advanced Materials Letters. 10:248-252
Publikováno v:
GECCO (Companion)
The Quadratic Assignment Problem (QAP) is a classical NP-hard combinatorial optimization problem. In the paper will be presented suitable metaheuristic algorithm HC12. The algorithm is population based and uses a massive parallel search of the binary
Publikováno v:
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO).
Symbolic Regression (SR) is a well-studied method in Genetic Programming (GP) for discovering free-form mathematical models from observed data, which includes not only the model parameters but also its innate structure. Another level of the regressio
Publikováno v:
Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems ISBN: 9783319074009
The paper deals with robust stabilization of a well-known deterministic discrete chaotic system denoted as Henon map. By means of proper utilization of metaheuristic optimization tool, the Grammatical Evolution (GE) can synthesise a new robust contro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c9fcd5e22802d18b30004290ff6274
https://doi.org/10.1007/978-3-319-07401-6_21
https://doi.org/10.1007/978-3-319-07401-6_21