Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]
Advances in Engineering and Intelligence SystemsAccurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar +2 more
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Some remarks on the Jacobian conjecture and polynomial endomorphisms [PDF]
, 2012 In this paper, we first show that homogeneous Keller maps are injective on lines through the origin. We subsequently formulate a generalization, which is that under some conditions, a polynomial endomorphism with $r$ homogeneous parts of positive degree ...
de Bondt, Michiel, Yan, Dan
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Global path planning for multiple AUVs using GWO
Archives of Control Sciences, 2023 Summary: In global path planning (GPP), an autonomous underwater vehicle (AUV) tracks a predefined path. The main objective of GPP is to generate a collision free sub-optimal path with minimum path cost. The path is defined as a set of segments, passing through selected nodes known as waypoints.
Madhusmita, Panda +2 more
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Photovoltaic power prediction based on improved grey wolf algorithm optimized back propagation [PDF]
Archives of Electrical Engineering, 2023 At present, the back-propagation (BP) network algorithm widely used in the short-term output prediction of photovoltaic power stations has the disadvantage of ignoring meteorological factors and weather conditions in the input.
Ping He +4 more
doaj +1 more source
A Case Study of Using Online Communities and Virtual Environment in Massively Multiplayer Role Playing Games (MMORPGs) as a Learning and Teaching Tool for Second Language Learners [PDF]
, 2012 Massively Multiplayer Online Role Playing Games (MMORPGs) create large virtual communities. Online gaming shows potential not just for entertaining, but also in education.
Kongmee, Isara +3 more
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Applying Distribution Functions to GWO Algorithm
International Journal of Engineering & Technology, 2018 GWO is an Optimization algorithm. It depends on the different distribution functions. The features of Optimization algorithm are as follows Convergence, precision, and performance. These Characters will generalize this optimization algorithm. In this paper, we explored GWO algorithm for different distributing functions.
Dr G. Krishna Mohan +3 more
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Grey wolf optimizer (GWO) for automated offshore crane design [PDF]
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the load can be moved horizontally in one or more ...
Hameed, Ibrahim +2 more
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Performance Assessment of Metaheuristic Algorithms: Firefly, Grey Wolf, and Moth Flame in Coal Pyrolysis Kinetic Parameter Estimation [PDF]
International Journal of Mathematical, Engineering and Management SciencesThis study investigates the effectiveness of the Firefly Optimizer (FFA), Grey Wolf Optimizer (GWO), and Moth Flame Optimizer (MFO) metaheuristic algorithms in estimating the kinetic parameters of a single-step coal pyrolysis model.
Vishnu Uppalakkal +2 more
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New Hybrid Algorithms for Prediction of Daily Load of Power Network
Applied Sciences, 2019 Two new hybrid algorithms are proposed to improve the performances of the meta-heuristic optimization algorithms, namely the Grey Wolf Optimizer (GWO) and Shuffled Frog Leaping Algorithm (SFLA). Firstly, it advances the hierarchy and position updating of
Pei Hu +5 more
doaj +1 more source
A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer
, 2019 Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Abbas, Dosti K. +2 more
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