Results 181 to 190 of about 7,687 (217)

Enhanced fault protection coordination in wind-solar distribution grids utilizing improved hyper spherical search based optimization. [PDF]

Sci Rep
Rath SS, Ray PK, Panda G, Mohanty A, Rajamony RK, Bhutto JK, Hakami H, Allasi HL.   +7 more
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A multicenter longitudinal study of cholinergic subgroups in Parkinson disease. [PDF]

Nat Commun
Bohnen NI, Roytman S, van der Zee S, Carli G, Michalakis F, Luker A, Slingerland S, Frey KA, Scott PJH, Koeppe RA, van Laar T, Albin RL, Kanel P.   +12 more
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A Review of the Expansion and Integration of Production Line Balancing Problems: From Core Issues to System Integration. [PDF]

Sensors (Basel)
Sitahong A, Lu Z, Yuan Y, Mo P, Ma J.
europepmc   +1 more source

Deep transfer learning based feature fusion model with Bonobo optimization algorithm for enhanced brain tumor segmentation and classification through biomedical imaging. [PDF]

Sci Rep
Gurunathan P, Srinivasan PS, S R.
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Fuzzy granulation-based wind speed prediction with multi-objective optimization. [PDF]

Sci Rep
Zhang C, Wang J, Li Z.
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Energy efficient clustering in industrial Iot using a quantum informed artificial hummingbird optimization algorithm. [PDF]

Sci Rep
Rajkumar S, Gopalakrishnan R.
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Aggregate based light incremental sharding for efficient embedding table management for recommender systems. [PDF]

Sci Rep
Kong C, Chen J, Meng D, Zhu H, Zhang Y.
europepmc   +1 more source

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Hyper-heuristics

2018
This chapter presents a literature review of the main advances in the field of hyper-heuristics, since the publication of a survey paper in 2013. The chapter demonstrates the most recent advances in hyper-heuristic foundations, methodologies, theory, and application areas.
Epitropakis, M.G., Burke, E.K.
openaire   +1 more source

Template method hyper-heuristics

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
The optimization literature is awash with metaphorically-inspired metaheuristics and their subsequent variants and hybridizations. This results in a plethora of methods, with descriptions that are often polluted with the language of the metaphor which inspired them [8].
John R. Woodward, Jerry Swan
openaire   +1 more source

Hyper-heuristics: Autonomous Problem Solvers

2021
Algorithm design is a general task for any problem-solving scenario. For Search and Optimization, this task becomes rather challenging due to the immense algorithm design space. Those existing design options are usually traversed to devise algorithms by the human algorithm development experts together with the specialists on the target problem domains.
openaire   +1 more source