Results 31 to 40 of about 845,538 (282)
Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
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Guiding model‐driven combination dose selection using multi‐objective synergy optimization
CPT: Pharmacometrics & Systems Pharmacology, 2023 Despite the growing appreciation that the future of cancer treatment lies in combination therapies, finding the right drugs to combine and the optimal way to combine them remains a nontrivial task. Herein, we introduce the Multi‐Objective Optimization of
Jana L. Gevertz, Irina Kareva
doaj +1 more source
Review of Economic Studies, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A benchmark generator for dynamic multi-objective optimization problems [PDF]
, 2014 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Many real-world optimization problems appear to not only have multiple objectives that conflict each other ...
Jiang, Jiang, Shouyong, Yang, Shengxiang
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Multi-Objective Optimization of Plastics Thermoforming
Mathematics, 2021 The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process. For that purpose, in this work, differently from the other works proposed in the literature,
António Gaspar-Cunha +5 more
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Multi-objective quality diversity optimization
Proceedings of the Genetic and Evolutionary Computation Conference, 2022 In this work, we consider the problem of Quality-Diversity (QD) optimization with multiple objectives. QD algorithms have been proposed to search for a large collection of both diverse and high-performing solutions instead of a single set of local optima. Thriving for diversity was shown to be useful in many industrial and robotics applications. On the
Pierrot, Thomas +3 more
openaire +2 more sources
Comparative Study of Ant Colony Algorithms for Multi-Objective Optimization
Information, 2018 In recent years, when solving MOPs, especially discrete path optimization problems, MOACOs concerning other meta-heuristic algorithms have been used and improved often, and they have become a hot research topic.
Jiaxu Ning +3 more
doaj +1 more source
Journal of Machine Engineering, 2021 This paper presents a study to ensure the minimum value of Ra and Rz, and the maximum value of MRR when external cylindrical grinding by the PSI. The experiments performed according to the orthogonal Taguchi L9 matrix with the input parameters were ...
Dung Hoang Tien +3 more
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Pareto optimality in multilayer network growth [PDF]
, 2018 We model the formation of multi-layer transportation networks as a multi-objective optimization process, where service providers compete for passengers, and the creation of routes is determined by a multi-objective cost function encoding a trade-off ...
A. Cook +13 more
core +3 more sources
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source