Results 11 to 20 of about 730,500 (301)
Parallel Direct Search Methods
AL-Rafidain Journal of Computer Sciences and Mathematics, 2010 Mostly minimization or maximization of a function is very expensive. Since function evaluation of the objective function requires a considerable time.
Bashir Khalaf, Mohammed Al-Neama
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Two decades of blackbox optimization applications
EURO Journal on Computational Optimization, 2021 This article reviews blackbox optimization applications of direct search optimization methods over the past twenty years. Emphasis is placed on the Mesh Adaptive Direct Search (Mads) derivative-free optimization algorithm.
Stéphane Alarie +4 more
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Genetic Algorithms as Computational Methods for Finite-Dimensional Optimization
Кібернетика та комп'ютерні технології, 2021 Introduction. As early as 1744, the great Leonhard Euler noted that nothing at all took place in the universe in which some rule of maximum or minimum did not appear [12].
Nataliya Gulayeva +2 more
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Applied Sciences, 2023 This work aims to offer an analysis of empirical research on the automatic learning methods used in detecting microRNA (miRNA) as potential markers of breast cancer.
Jorge Alberto Contreras-Rodríguez +3 more
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A Direct Search Algorithm for Global Optimization
Algorithms, 2016 A direct search algorithm is proposed for minimizing an arbitrary real valued function. The algorithm uses a new function transformation and three simplex-based operations.
Enrique Baeyens +2 more
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Retraction-Based Direct Search Methods for Derivative Free Riemannian Optimization [PDF]
, 2023 Direct search methods represent a robust and reliable class of algorithms for solving black-box optimization problems. In this paper, the application of those strategies is exported to Riemannian optimization, wherein minimization is to be performed with
Rinaldi F., Zeffiro D., Kungurtsev V.
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Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy [PDF]
PeerJ Computer ScienceIntensity modulated radiation therapy (IMRT) is a prevalent approach for administering radiation therapy in cancer treatment. The primary objective of IMRT is to devise a treatment strategy that eradicates cancer cells from the tumour while minimising ...
Mauricio Moyano +5 more
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Acta Scientiarum: Biological Sciences, 2015 Quadrat sampling is a method used for a long time in plant ecology studies but only recently it has been used with focus on fauna. For the cave fauna samplings, there are rare works applying this methodology.
Maria Elina Bichuette +3 more
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Direct search methods for influence maximization problems [PDF]
, 2023 openThe influence maximization problem seeks to maximize the spread of influence in network structures. This challenging optimization task remains unsolved due to its combinatorial nature and computational complexity. In this thesis, we propose two novel
BERGAMASCHI, MATTEO
core
Tuning approximate dynamic programming policies for ambulance redeployment via direct search
Stochastic Systems, 2014 In this paper we consider approximate dynamic programming methods for ambulance redeployment. We first demonstrate through simple examples how typical value function fitting techniques, such as approximate policy iteration and linear programming, may not
Matthew S. Maxwell +2 more
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