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Relevant bibliographies by topics / Multiverse optimisation

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Journal articles
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Academic literature on the topic 'Multiverse optimisation'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Multiverse optimisation"

1

Haziq Suhaimi, Muhammad, Ismail Musirin, Muzaiyanah Hidayab, Shahrizal Jelani, and Mohd Helmi Mansor. "Multiverse optimisation based technique for solving economic dispatch in power system." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 485. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp485-491.

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Economic dispatch (ED) is one of the many important components in a power system operation. It is designed to calculate the exact amount of power generation needed to ensure a minimum cost of generation. A power system with multiple generators should be running under an economic condition. The operating cost has to be minimised for any feasible load demand. The increase of power demand is getting higher throughout the year. Economic dispatch is used to schedule and control all output of the fossil-fuel or coal-generators to satisfy the system load demand at a minimum cost. This paper presents

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2

Muhammad, Haziq Suhaimi, Musirin Ismail, Hidayab Muzaiyanah, Jelani Shahrizal, and Helmi Mansor Mohd. "Multiverse optimisation based technique for solving economic dispatch in power system." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 485–91. https://doi.org/10.11591/ijeecs.v20.i1.pp485-491.

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Abstract:

Economic dispatch (ED) is one of the many important components in a power system operation. It is designed to calculate the exact amount of power generation needed to ensure a minimum cost of generation. A power system with multiple generators should be running under an economic condition. The operating cost has to be minimised for any feasible load demand. The increase of power demand is getting higher throughout the year. Economic dispatch is used to schedule and control all output of the fossilfuel or coal-generators to satisfy the system load demand at a minimum cost. This paper presents t

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3

Amini, Erfan, Danial Golbaz, Rojin Asadi, et al. "A Comparative Study of Metaheuristic Algorithms for Wave Energy Converter Power Take-Off Optimisation: A Case Study for Eastern Australia." Journal of Marine Science and Engineering 9, no. 5 (2021): 490. http://dx.doi.org/10.3390/jmse9050490.

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One of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared to other renewable energy technologies. In this paper, we develop and optimise Power Take-off (PTO) configurations of a well-known wave energy converter (WEC) called a point absorber. This WEC is a fully submerged buoy with three tethers, which was proposed and developed by Carnegie Clean Energy Company in Australia. Optimising the WEC’s PTO par

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Tabak, Abdulsamed. "Modified and Improved TID Controller for Automatic Voltage Regulator Systems." Fractal and Fractional 8, no. 11 (2024): 654. http://dx.doi.org/10.3390/fractalfract8110654.

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This paper proposes a fractional order integral-derivative plus second-order derivative with low-pass filters and a tilt controller called IλDND2N2-T to improve the control performance of an automatic voltage regulator (AVR). In this study, equilibrium optimisation (EO), multiverse optimisation (MVO), and particle swarm optimisation (PSO) algorithms are used to optimise the parameters of the proposed controller and statistical tests are performed with the data obtained from the application of these three algorithms to the AVR problem. Afterwards, the performance of the IλDND2N2-T controller is

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5

Mishra, Mayank, Gunturi Venkata Ramana, and Damodar Maity. "Multiverse Optimisation Algorithm for Capturing the Critical Slip Surface in Slope Stability Analysis." Geotechnical and Geological Engineering 38, no. 1 (2019): 459–74. http://dx.doi.org/10.1007/s10706-019-01037-2.

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Babu B, Kiran, and Sydulu Maheswarapu. "New hybrid multiverse optimisation approach for optimal accommodation of DGs in power distribution networks." IET Generation, Transmission & Distribution 13, no. 13 (2019): 2673–85. http://dx.doi.org/10.1049/iet-gtd.2018.5763.

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Berghout, Tarek, and Mohamed Benbouzid. "Fault Diagnosis in Drones via Multiverse Augmented Extreme Recurrent Expansion of Acoustic Emissions with Uncertainty Bayesian Optimisation." Machines 12, no. 8 (2024): 504. http://dx.doi.org/10.3390/machines12080504.

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Drones are a promising technology performing various functions, ranging from aerial photography to emergency response, requiring swift fault diagnosis methods to sustain operational continuity and minimise downtime. This optimises resources, reduces maintenance costs, and boosts mission success rates. Among these methods, traditional approaches such as visual inspection or manual testing have long been utilised. However, in recent years, data representation methods, such as deep learning systems, have achieved significant success. These methods learn patterns and relationships, enhancing fault

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8

Chen, Lei, Lvjie Li, and Wenyue Kuang. "A hybrid multiverse optimisation algorithm based on differential evolution and adaptive mutation." Journal of Experimental & Theoretical Artificial Intelligence, March 16, 2020, 1–23. http://dx.doi.org/10.1080/0952813x.2020.1735532.

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Dissertations / Theses on the topic "Multiverse optimisation"

1

Mahmud, Mohamed Taher Mustafa. "Optimal design and operation of multivessel batch distillation with fixed product demand. Modelling, simulation and optimisation of design and operation parameters in multivessel batch distillation under fixed product demand scenario and strict product specifications using simple dynamic model in gPROMS." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4435.

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Increased interest in unconventional batch distillation column configurations offers new opportunities for increasing the flexibility and energy efficiency of batch distillation. One configuration of particular interest is multivessel batch distillation column, which can be viewed as a generalization of all previously studied batch column configuration. In this work, for the first time the optimal design and operation tasks are developed for multivessel batch distillation with strict product specifications under fixed product demand. Also, in this work, two different operation schemes d

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