Results 21 to 30 of about 15,096,448 (302)
An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem
IEEE Access, 2019 In this paper, an improved ant colony optimization(ICMPACO) algorithm based on the multi-population strategy, co-evolution mechanism, pheromone updating strategy, and pheromone diffusion mechanism is proposed to balance the convergence speed and solution
Wu Deng, Junjie Xu, Huimin Zhao
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Meta-Learning With Differentiable Convex Optimization [PDF]
Computer Vision and Pattern Recognition, 2019 Many meta-learning approaches for few-shot learning rely on simple base learners such as nearest-neighbor classifiers. However, even in the few-shot regime, discriminatively trained linear predictors can offer better generalization.
Kwonjoon Lee +3 more
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Energy-Efficient On–Off Power Control of Femto-Cell Base Stations for Cooperative Cellular Networks
Applied Sciences, 2016 Improving energy efficiency (EE) of mobile communication systems (MCSs) has been considered a key aim in recent years, and has been the subject of intense research interest.
Woongsup Lee, Bang Chul Jung
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International Conference on Operations Research and Enterprise Systems, 2021 Course aims What this course is This is a PhD course on robust optimization. The decision-making problem requires the parameters of underlying models. While applying data to estimate parameters, the uncertainty is unavoidable.
Jean-Philippe Vial
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A Fast Feature Selection Algorithm Based on Swarm Intelligence in Acoustic Defect Detection
IEEE Access, 2018 Feature selection plays an important role in data mining and pattern recognition. However, most existing feature selection methods suffer from stagnation in local optimal and/or high computational cost.
Tao Zhang +3 more
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Thinking fast and slow: Optimization decomposition across timescales [PDF]
IEEE Conference on Decision and Control, 2017 Many real-world control systems, such as the smart grid and human sensorimotor control systems, have decentralized components that react quickly using local information and centralized components that react slowly using a more global view.
Gautam Goel, Niangjun Chen, A. Wierman
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Optimization Approaches for the Traveling Salesman Problem with Drone
Transportation Science, 2016 The fast and cost-efficient home delivery of goods ordered online is logistically challenging. Many companies are looking for new ways to cross the last mile to their customers. One technology-enabled opportunity that recently has received much attention
Niels A. H. Agatz, P. Bouman, M. Schmidt
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IEEE Access, 2023 The mapping of damping ratios and damping factors by Sine-Cosine Algorithm (SCA) is significant in the analysis of low frequency oscillations generated in an integrated network having multiple conventional and renewable energy sources.
S. Grace Sadhana, S. Kumaravel, S. Ashok
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Inverse Coefficient Problem for Epidemiological Mean-Field Formulation
MathematicsThe paper proposes an approach to solving the inverse epidemiological problem, written in terms of the “mean-field” theory. Finding the coefficients of an epidemiological SIR mean-field model is reduced to solving an optimization problem, for the ...
Viktoriya Petrakova
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Transport and Telecommunication, 2018 Cognitive Radio Networks (CRN) were introduced as a means to more efficiently reuse the licensed radio frequency spectrum. One of their salient features is the ability of unlicensed nodes to dynamically adapt their radio parameters according to their ...
Benghabrit Nawel, Kaddour Mejdi
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