Results 21 to 30 of about 681,060 (327)
Searching in the Forest for Local Bayesian Optimization
CoRR, 2021 Because of its sample efficiency, Bayesian optimization (BO) has become a popular approach dealing with expensive black-box optimization problems, such as hyperparameter optimization (HPO). Recent empirical experiments showed that the loss landscapes of HPO problems tend to be more benign than previously assumed, i.e.
Difan Deng, Marius Lindauer
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Fast multi-swarm optimization for dynamic optimization problems [PDF]
, 2008 This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
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Measuring Polarization in Online Debates
Applied Sciences, 2021 Social networks can be a very successful tool to engage users to discuss relevant topics for society. However, there are also some dangers that are associated with them, such as the emergence of polarization in online discussions.
Teresa Alsinet +3 more
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Measurement + Control, 2022 A metering roundabout where traffic is controlled by traffic lights with phase times influenced by queue detector occupancy might be the solution to enhance performance when there are unbalanced traffic flows at roundabouts.
Hong Ki An, Yao Liu, Dong Sun Kim
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Manta Ray Foraging Optimization Algorithm: Modifications and Applications
IEEE Access, 2023 The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the smart conduct of manta rays. The MRFO algorithm is a newly developed swarm-based metaheuristic approach that emulates the supportive conduct performed by manta rays ...
Mohammed Abdullahi +4 more
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Hybridization of multi-objective deterministic particle swarm with derivative-free local searches [PDF]
, 2020 The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems.
Diez, M. +5 more
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Improved YSGA Algorithm Combining Declining Strategy and Fuch Chaotic Mechanism
Jisuanji kexue yu tansuo, 2021 In order to enhance the search coverage and optimization accuracy of the Goatfish algorithm to optimize the global exploration ability and local mining ability, an improved Goatfish optimization algorithm IYSGA (improved yellow saddle goatfish algorithm)
GAO Leifu, RONG Xuejiao
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On local search based heuristics for optimization problems
Croatian Operational Research Review, 2014 When comparing various metaheuristics, even asking a fair and formally consis-tent question is often difficult. Having this in mind, we provide some further evidence that simple local search heuristics may be at least a very competitive choice.
David Kaljun, Janez Žerovnik
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A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2009 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
AS Uyar +25 more
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A New Metaheuristic Inspired by the Vapour-Liquid Equilibrium for Continuous Optimization
Applied Sciences, 2018 In this article, a novel optimization metaheuristic based on the vapour-liquid equilibrium is described to solve highly nonlinear optimization problems in continuous domains.
Enrique M. Cortés-Toro +4 more
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