Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Dirk V. Arnold"'
Publikováno v:
Evolutionary Computation. 30:531-553
Active-set approaches are commonly used in algorithms for constrained numerical optimization. We propose that active-set techniques can beneficially be employed for evolutionary black-box optimization with explicit constraints and present an active-s
Autor:
Dirk V. Arnold, Lauchlan Toal
Publikováno v:
Parallel Problem Solving from Nature – PPSN XVI ISBN: 9783030581114
PPSN (1)
PPSN (1)
We aim to observe differences between surrogate model assisted covariance matrix adaptation evolution strategies applied to simple test problems. We propose a simple Gaussian process assisted strategy as a baseline. The performance of the algorithm i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eac5685b85b9329481ed2dc1e57a0d3
https://doi.org/10.1007/978-3-030-58112-1_13
https://doi.org/10.1007/978-3-030-58112-1_13
Publikováno v:
ACM Transactions on Applied Perception. 14:1-11
With the development of high-dynamic-range images and tone mapping operators comes a need for image quality evaluation of tone mapped images. However, because of the significant difference in dynamic range between high-dynamic-range images and tone m
Autor:
Jingyun Yang, Dirk V. Arnold
Publikováno v:
GECCO
Surrogate models in black-box optimization can be exploited to different degrees. At one end of the spectrum, they can be used to provide inexpensive but inaccurate assessments of the quality of candidate solutions generated by the black-box optimiza
Autor:
Dirk V. Arnold, Michael Hellwig
Publikováno v:
Evolutionary Computation. 24:1-23
This paper investigates constraint-handling techniques used in nonelitist single-parent evolution strategies for the problem of maximizing a linear function with a single linear constraint. Two repair mechanisms are considered, and the analytical res
Autor:
Dirk V. Arnold, Arash Kayhani
Publikováno v:
Parallel Problem Solving from Nature – PPSN XV ISBN: 9783319992525
PPSN (1)
PPSN (1)
Surrogate models are employed in evolutionary algorithms to replace expensive objective function evaluations with cheaper though usually inaccurate estimates based on information gained in past iterations. Implications of the trade-off between comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aaaed077491da393fba1f5a04db08cc
https://doi.org/10.1007/978-3-319-99253-2_2
https://doi.org/10.1007/978-3-319-99253-2_2
Publikováno v:
Computers & Graphics. 52:171-180
While many tone mapping operators have been proposed, tuning their parameters remains a challenging task. In this work, we present a parameter tuning algorithm that can optimize the parameters of tone mapping operators automatically by minimizing the
Autor:
Dirk V. Arnold
Publikováno v:
GECCO
We consider the problem of solving constrained numerical optimization problems where the objective function is a black box, but the constraint functions are known explicitly. A recently proposed active-set approach implemented in an evolution strateg
Publikováno v:
CEC
Tone mapping is the process of transforming high dynamic range images for display on low dynamic range devices. While many tone mapping operators have been proposed, there is no single operator that generates optimal results under all conditions. Ble
Autor:
Ang Lu, Dirk V. Arnold
Publikováno v:
CEC
We consider the task of determining the pose of a depth camera based on a single target depth image and a 3D model of the indoor environment that the image was taken in. We identify the quality of a pose estimate with summed differences between depth