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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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High order iterative methods for decomposition‐coordination problems
Technological and Economic Development of Economy, 2006 Many real‐life optimization problems are of the multiobjective type and highdimensional. Possibilities for solving large scale optimization problems on a computer network or multiprocessor computer using a multi‐level approach are studied.
Otu Vaarmann
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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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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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An Entropy-Assisted Particle Swarm Optimizer for Large-Scale Optimization Problem
Mathematics, 2019 Diversity maintenance is crucial for particle swarm optimizer’s (PSO) performance. However, the update mechanism for particles in the conventional PSO is poor in the performance of diversity maintenance, which usually results in a premature ...
Weian Guo +4 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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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 Path-Dependent Optimization of Supersonic Aircraft
Aerospace, 2020 Aircraft are multidisciplinary systems that are challenging to design due to interactions between the subsystems. The relevant disciplines, such as aerodynamic, thermal, and propulsion systems, must be considered simultaneously using a path-dependent ...
John P. Jasa +4 more
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