Results 21 to 30 of about 1,503,716 (266)
RPCGB Method for Large-Scale Global Optimization Problems
Axioms, 2023 In this paper, we propose a new approach for optimizing a large-scale non-convex differentiable function subject to linear equality constraints. The proposed method, RPCGB (random perturbation of the conditional gradient method with bisection algorithm),
Abderrahmane Ettahiri +1 more
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Large scale optimization of transonic axial compressor rotor blades [PDF]
, 2008 [First Paragraphs] In the present work the Multipoint Approximation Method (MAM) by Toropov et al. (1993) has been applied to the shape optimization of an existing transonic compressor rotor (NASA rotor 37) as a benchmark case.
Polynkin, A., Shahpar, S., Toropov, V.
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Large-Scale Expensive Optimization with a Switching Strategy
Complex System Modeling and Simulation, 2022 Some optimization problems in scientific research, such as the robustness optimization for the Internet of Things and the neural architecture search, are large-scale in decision space and expensive for objective evaluation.
Mai Sun +4 more
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Adaptive modeling for large-scale advertisers optimization
Big Data Analytics, 2017 Background Advertisers optimization is one of the most fundamental tasks in paid search, which is a multi-billion industry as a major part of the growing online advertising market.
Qiufeng Wang +3 more
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Online Large-Scale Taxi Assignment: Optimization and Learning
Findings, 2023 We propose a solution method for online vehicle routing, which integrates a machine learning routine to improve tours’ quality. Our optimization model is based on the Bertsimas et al. (2019) re-optimization approach.
Omar Rifki, Thierry Garaix
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Very large scale optimization [PDF]
8th Symposium on Multidisciplinary Analysis and Optimization, 2000 The purpose of this research under the NASA Small Business Innovative Research program was to develop algorithms and associated software to solve very large nonlinear, constrained optimization tasks. Key issues included efficiency, reliability, memory, and gradient calculation requirements.
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Large-scale recommendation for portfolio optimization [PDF]
Proceedings of the 12th ACM Conference on Recommender Systems, 2018 Individual investors are now massively using online brokers to trade stocks with convenient interfaces and low fees, albeit losing the advice and personalization traditionally provided by full-service brokers. We frame the problem faced by online brokers of replicating this level of service in a low-cost and automated manner for a very large number of ...
Swezey, Robin, Charron, Bruno
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A Stable Large-Scale Multiobjective Optimization Algorithm with Two Alternative Optimization Methods
Entropy, 2023 For large-scale multiobjective evolutionary algorithms based on the grouping of decision variables, the challenge is to design a stable grouping strategy to balance convergence and population diversity.
Tianyu Liu, Junjie Zhu, Lei Cao
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Throughput optimization strategies for large-scale wireless LANs [PDF]
, 2015 Thanks to the active development of IEEE 802.11, the performance of wireless local area networks (WLANs) is improving by every new edition of the standard facilitating large enterprises to rely on Wi-Fi for more demanding applications. The limited number
Deschrijver, Dirk +8 more
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Large-scale bound constrained optimization based on hybrid teaching learning optimization algorithm
Alexandria Engineering Journal, 2021 Evolutionary computing is an exciting sub-field of soft computing. Many evolutionary algorithm based on the Darwinian principles of natural selection are developed under the umbrella of EC in the last two decades.
Wali Khan Mashwani +4 more
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