Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Christopher W. Cleghorn"'
Publikováno v:
Spatial Statistics. 55:100748
This study investigates the use of local optima network (LON) analysis, a derivative of the fitness landscape of candidate solutions, to characterise and visualise the neural architecture space. The search space of feedforward neural network architec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77f50fe3bbb61661e9edf80769455807
http://arxiv.org/abs/2206.06903
http://arxiv.org/abs/2206.06903
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031147135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5914a3a5999bb03dfd845f34f53f7d9
https://doi.org/10.1007/978-3-031-14714-2_13
https://doi.org/10.1007/978-3-031-14714-2_13
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
GECCO Companion
A major challenge with utilizing a metaheuristic is finding optimal or near optimal parameters for a given problem instance. It is well known that the best performing control parameters are often problem dependent, with poorly chosen parameters even
Publikováno v:
Swarm and Evolutionary Computation. 71:101060
Point source detection techniques are used to identify and localise point sources in radio astronomical surveys. With the development of the Square Kilometre Array (SKA) telescope, survey images will see a massive increase in size from Gigapixels to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::063f37e306e1b0fbe719398ca0df2bca
http://arxiv.org/abs/2008.02093
http://arxiv.org/abs/2008.02093
Publikováno v:
Swarm and Evolutionary Computation. 66:100930
Quantification of the performance of algorithms that solve dynamic optimization problems (DOPs) is challenging, since the fitness landscape changes over time. Popular performance measures for DOPs do not adequately account for ongoing fitness landsca