Cabin Placement Layout Optimisation Based on Systematic Layout Planning and Genetic Algorithm

Su, Shaojuan; Zheng, Yasai; Xu, Jinan; Wang, Tianlin

doi:10.2478/pomr-2020-0017

Cited by 12 publications

(8 citation statements)

References 13 publications

(15 reference statements)

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“…• the arrangement of machines and devices inside a ship [20], and • fuel consumption during a voyage [21], [22]. Solving this type of task involves identifying decision variables, defining criterion functions and limitations, adopting an objective function and finally finding the optimal values of the decision variables [23].…”

Section: Proposed Methods Of Solving the Problemmentioning

confidence: 99%

Optimisation of the Topping-Up Process of Lubricating Oil in Medium-Speed Marine Engines

Młynarczak

Rudzki

2021

Polish Maritime Research

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In this paper, we examine the problem of optimising the process of topping up lubricating oil in medium-speed marine engines. This process is one of the methods that can be applied to improve the properties of lubricating oil. The amount of fresh oil added to lubricating oil system always balances its consumption, but the method used to top up depends on the marine engineer. Small amounts of fresh oil can be added at short intervals, or large ones at long intervals, and the element of randomness often plays a significant role here. It would therefore be valuable to find a method that can help the mechanical engineer to choose the right strategy. We apply a multi-criteria optimisation method for this purpose, and assume that the criterion functions depend on the concentration of solid impurities and the alkalinity, which are among the most important aspects of the quality and properties of lubricating oil. These criterion functions form the basis for multi-objective optimisation carried out with the use of the MATLAB computer program.

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Section: Proposed Methods Of Solving the Problemmentioning

confidence: 99%

Optimisation of the Topping-Up Process of Lubricating Oil in Medium-Speed Marine Engines

Młynarczak

Rudzki

2021

Polish Maritime Research

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“…Many elementary schools now use Feixin to inform parents about their children's daily learning and homework. In contrast, cell phone use in colleges and universities is very low [16].…”

Section: Structure Analysis Of Mobile Teaching System Based Onmentioning

confidence: 98%

Mobile Education System Based on Genetic Algorithm

Dang

2022

Mobile Information Systems

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In order to solve the problems existing in the current mobile education system, this paper proposes a method of mobile education system based on genetic algorithm. By analyzing the research status of mobile learning and the theory and application mode of mobile learning, this method explores the combination of mobile learning theory and application mode and China’s traditional primary and secondary education mode, then puts forward a mobile teaching model suitable for primary and secondary education, and builds a mobile teaching system on this basis. The results show that, through the analysis, it is found that most of them remain at about 10%. In practice, the occupation is slightly increased only when multiple people teach, but it also belongs to an acceptable normal level, which can meet more complex functions in the future. The function of mobile learning platform needs to be expanded. For example, mobile learning forum can provide learners with a platform for communication, discussion, and sharing learning materials.

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“…Attempts are also made to use multi-objective optimization methods to design the ship room arrangement. For example, a method combining systematic layout planning and a genetic algorithm to optimize the cabin placement within ships is presented in [13], [14], [15], whereas application of the particle swarm algorithm to optimize the ship's vertical passage layout problem is presented in [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization Model to Manage Ship Fuel Consumption and Navigation Time

Rudzki

Gomulka

Hoang

2022

Polish Maritime Research

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Owners of vessels are interested in the lowest possible operating costs. These costs are mainly related to fuel consumption during navigation. To manage it rationally, the main decision-making problem is selecting the proper parameters of the ship’s propulsion system during navigation. In practice, operators of ships equipped with controllable pitch propellers controlled in manual mode make a selection of the commanded outputs based on their own knowledge, intuition, and all accessible information regarding sea conditions. In many cases, their decisions are unreasonable or incorrect. Therefore, it would be desirable to support their decision-making in selecting the commanded outputs. For this reason, we have decided to develop a decision support system in the form of an expert system. This computer-aided system supports the selection of the commanded outputs of the ship’s propulsion system. The most important component of this system is the two-criteria optimization model, allowing the rational management of the ship fuel consumption and navigation time.

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Cabin Placement Layout Optimisation Based on Systematic Layout Planning and Genetic Algorithm

Cited by 12 publications

References 13 publications

Optimisation of the Topping-Up Process of Lubricating Oil in Medium-Speed Marine Engines

Optimisation of the Topping-Up Process of Lubricating Oil in Medium-Speed Marine Engines

Mobile Education System Based on Genetic Algorithm

Optimization Model to Manage Ship Fuel Consumption and Navigation Time

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