Expert control system of shipping operation on the Gabcikovo project

Šulek, Peter; Kinczer, Tomáš

doi:10.1556/606.2019.14.1.14

Cited by 7 publications

(5 citation statements)

References 6 publications

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“…Four large scale optimization problems are chosen in these experiments, and the run conditions are: variable dimensions 1,000, population size 25, number of iterations 100, and 51 independent runs. The description and formulation of the large scale problems can be written as follows: 12,5.12], F min 5 0, F17: f ðxÞ ¼…”

Section: Resultsmentioning

confidence: 99%

“…Developers are more interested in phenomena that could inspire them to develop a new method that can solve new problems or find the best solutions for the existing ones. One of the inspiration engines is flock of animal, birds, and insects that lead to developing swarm intelligence [4,5] methods; this term can be defined as accumulative and shared knowledge among a group of individuals, and this kind of intelligence cannot be reached by one of them alone. Examples of swarm intelligence Particle Swarm Optimization (PSO) [6], Artificial Bee Colony (ABC) [7], and Grey Wolf Optimization (GWO) [8].…”

Section: Introductionmentioning

confidence: 99%

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Fertilization optimization algorithm on CEC2015 and large scale problems

Ghafil

Alsamia

Jármai

2022

Pollack

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This work, presents a novel optimizer called fertilization optimization algorithm, which is based on levy flight and random search within a search space. It is a biologically inspired algorithm by the fertilization of the egg in reproduction of mammals. The performance of the algorithm was compared with other optimization algorithms on CEC2015 time expensive benchmarks and large scale optimization problems. Remarkably, the fertilization optimization algorithm has overcome other optimizers in many cases and the examination and comparison results are encouraging to use the fertilization optimization algorithm in other possible applications.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fertilization optimization algorithm on CEC2015 and large scale problems

Ghafil

Alsamia

Jármai

2022

Pollack

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“…Based on this calculation, it is possible to perform a non-linear opening of the filling gates already in the first lock design. Studies [16] and [17] describe in detail the optimization of nonlinear opening. Proper design will result in faster locking and increase the capacity of the waterway.…”

Section: Discussionmentioning

confidence: 99%

Analytical Determination of Longitudinal Forces on the Vessels During Filling of the Navigation Lock

Kašpar

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The basic parameter for the calculation of the lock filling time is the determination of the forces on the vessels during the filling of the navigation lock. The time required to fill the lock determines the method of filling the lock. The forces on vessels during filling (emptying) directly determine the capacity of the waterway. In the first phase of the lock design, the forces on the vessels during locking are calculated analytically. Most approaches to calculate the forces on vessels are concerned only with finding the maximum value of the forces on vessels. This research deals with the analytical determination of the maximum forces on vessels during the lock filling period. Data from the physical model and the 1D model are used to calculate the maximum forces on the vessels. This simple method can be used to design a new lock. This simple method can be used to design a new lock and to increase the capacity of existing historic locks on the Elbe-Vltava Waterway (Czech Republic) without any structural modifications.

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“…The area of interest consists of fluvial quaternary sediments and fine-grained alluvial sands [10], [11]. From lithological point of view, it is a gravel-sand complex with high specific flow (q ≥ 1x10 -2 m 2 s -1 ).…”

Section: Hydrogeological Datamentioning

confidence: 99%

Hydraulic Assessment of the Impacts of Gate Realization on Groundwater Regime

Šoltész

Baroková

Shenga

et al. 2020

Pollack

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Presented paper deals with the hydraulic assessment of groundwater flow in the area affected by the realization of the hydraulic gate on the Klátov branch and in the adjacent territory of a dike, which is located on the right-side of Little Danube. This hydraulic assessment is part of the project of the Slovak Water Management Enterprise, which also aims to increase the height and seal the dike on the right-side of the Little Danube. Generally, the project is divided into three phases (Phase I, II and III) to implement different technical measures to protect the area from flooding. The assumption for the execution of the technical measures of the mentioned three project phases is a continuous flood protection of part of the Žitný ostrov area around the Little Danube and the Klátov River branch in the reach from Kolárovo to Jahodná town. Therefore, a 3D mathematical model was created to simulate groundwater flow by changing boundary conditions of surface water flow during flood periods.

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Expert control system of shipping operation on the Gabcikovo project

Cited by 7 publications

References 6 publications

Fertilization optimization algorithm on CEC2015 and large scale problems

Fertilization optimization algorithm on CEC2015 and large scale problems

Analytical Determination of Longitudinal Forces on the Vessels During Filling of the Navigation Lock

Hydraulic Assessment of the Impacts of Gate Realization on Groundwater Regime

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