Results 21 to 30 of about 30,043 (263)
Game-theoretic cybersecurity analysis for false data injection attack on networked microgrids
In well-managed coordinated networked microgrids (MGs) besides electricity interchange between MGs, global optimisation is fulfilled. Here the authors studied a networked MG architecture, in which the control centre of microgrids communicates with a ...
Nima Nikmehr +2 more
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Real-time Optimisation for Industrial Internet of Things (IIoT): Overview, Challenges and Opportunities [PDF]
Industrial Internet-of-Things (IIoT) with massive data transfers and huge numbers of connected devices, incombination with the high demand for greater quality-of-services, signal processing is no longer producing small data sets but rather, very ...
Long Nguyen, Ayse Kortun
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Accelerating Federated Learning With a Global Biased Optimiser
Federated Learning (FL) is a recent development in distributed machine learning that collaboratively trains models without training data leaving client devices, preserving data privacy. In real-world FL, the training set is distributed over clients in a highly non-Independent and Identically Distributed (non-IID) fashion, harming model convergence ...
Mills, Jed +6 more
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Simultaneous Prediction of the Magnetic and Crystal Structure of Materials Using a Genetic Algorithm
We introduce a number of extensions and enhancements to a genetic algorithm for crystal structure prediction, to make it suitable to study magnetic systems. The coupling between magnetic properties and crystal structure means that it is essential to take
Edward J. Higgins +2 more
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In this study, a novel strategy for transactive energy in the networked microgrids (MGs) is presented. This strategy consists of three stages: local optimisation, global optimisation, and re‐local optimisation.
Mohadese Movahednia +2 more
doaj +1 more source
Parametric global optimisation for bilevel programming [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nuno P. Faísca +4 more
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PeSOA: Penguins Search Optimisation Algorithm for Global Optimisation Problems
This paper develops Penguin search Optimisation Algorithm (PeSOA), a new metaheuristic algorithm which is inspired by the foraging behaviours of penguins. A population of penguins located in the solution space of the given search and optimisation problem is divided into groups and tasked with finding optimal solutions.
Youcef Gheraibia +4 more
openaire +3 more sources
Locally and globally optimal solutions of global optimisation for max‐plus linear systems
This paper considers the locally and globally optimal solutions of the global optimisation problem whose objective function is a max‐plus vector‐valued function and constraint function is a real affine function.
Cailu Wang, Yuegang Tao
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Source optimisation (SO) is an approved approach to improve the imaging quality in inverse lithography techniques. It is critical to apply an optimisation approach with high convergence efficiency and minimum errors in pixel-based SO.
Haifeng Sun +6 more
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Niching Global Optimisation: Systematic Literature Review
Niching in global optimisation refers to a set of techniques designed to identify multiple optimal solutions within a nonlinear, multimodal landscape.
Yves Matanga +3 more
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