Nonlinear Discrete Optimization: An Algorithmic Theory (Zurich Lectures in Advanced Mathematics)
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Aggelogiannaki E. i Sarimveis H. (2007): A simulated annealing algorithm for prioritized multiobjective optimization-implementation in an adaptive model predictive control configuration. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, t. 37, nr 4, s. 902-915.
Since the problem is strongly non-linear, in order to cover large space of potential solutions, the algorithm runs for a relatively large number of random initial swarms. This task was distributed on a computer cluster. Although the nature of AZ reconfiguration is discrete, the optimization algorithm is continuous. Słowa kluczowe:
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Okulewicz M., Mańdziuk J., A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem, w: Proceedings of the Seventh International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2016, Jozef Stefan Institute, Ljubljana, 2016, str. 215 – 227 (materiały z „7th International Conference ...
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SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 the student has an extended/advanced knowledge regarding mathematical methods of optimization which are necessary in solving of different problems in informatics, PEK_W02 the student has an extended/advanced knowledge regarding linear and nonlinear programming and numerical methods of ...
A genetic algorithm for the teacher ass ignment . problem for a university in Indonesia. International Jo urnal of Information and . Management Sciences, 19, 2008, s. 1-16. 6.
Lonc Z., Naroski P., A linear time algorithm for finding an Euler walk in a strongly connected 3-uniform hypergraph, Discrete Mathematics and Theoretical Computer Science, 14 (2012), str. 147 – 158 pdf
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The objective is to minimize the inventory holding cost while avoiding shortages. A discrete-time, dynamic model of inventory system is assumed for the analysis.
TOPICS in logic, philosophy and foundations of mathematics, and computer science : in recognition of professor Andrzej Grzegorczyk / ed. by S. Krajewski [et al.]. – Amsterdam ; Washington : IOS Press, 2007.
References [1] Stachno A., Jablonski A., Application of Artificial Neuron Networks to Forecasting of Successive Values of a Time Series Representing Environmental Measurements in an Intelligent Building, 14th International Conference Computer Aided Systems Theory, Instituto Universitario de Ciencias y Tecnologias Ciberneticas, Las Palmas de ...
Busłowicz M., Pointwise completeness and pointwise degeneracy of linear discrete-time systems of fractional order, „Automatyka – Zeszyty Naukowe ...
Matematyka może być tak samo piękna, jak interesująca. Udowodniła to nasza absolwentka Katarzyna Siejek (specjalność Matematyka nauczycielska) w swojej pracy magisterskiej Klasyfikacja parkietaży izohedralnych o niesymetrycznych płytkach (napisanej pod opieką prof. Jacka Świątkowskiego), za którą dostała w 2019 r. wyróżnienie w konkursie mBanku „Krok w Przyszłość”.
Symposium on Applied Graph Theory and Discrete Mathematics in Chemistry (in honor of Prof. ), Saskatoon, Canada, invited speaker ... New zeta functions for dynamical systems and Nielsen fixed point theory. Lecture Notes in Mathematics , v. 1346, 1988, 33-55. ... Reviews of Advanced Materials Science 14, p.81-84, 2007.
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Algorithmic advances in riemannian geometry and applications ha quang minh vittorio murino. Algorithms and discrete applied mathematics sumit ganguly ramesh krishnamurti. An economic interpretation of linear programming quirino paris.
Bielecki Tomasz R., Jakubowski Jacek, Niewęgłowski Mariusz: Dynamic Modeling of Dependence in Finance via Copulae Between Stochastic Processes, in: Copula Theory and Its Applications / Jaworski Piotr [et al.] (eds.), Lecture Notes in Statistics, 2010, Springer Berlin Heidelberg, ISBN 978-3-642-12464-8, 978-3-642-12465-5, pp. 33-76
Application of an ant colony optimization algorithm in modeling the heat transfer in porous aluminum. Autorzy: Rafał Brociek , Damian Słota , Mariusz Król , Grzegorz Matula , Waldemar Kwaśny .
This monograph is concerned with computational research for complex systems. It presents a summary of the authors experience with the development of methods for optimisation, control and simulation of real-life large scale systems.
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