• Suche: "Evolutionary programming (Computer science)"

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1

Evolutionary rule learning in knowledge graphs with industry applications
Wu, Lianlong ; Sallinger, Emanuel ; Gottlob, Georg

Algorithms Evolutionary programming... Knowledge and learning
Dissertation
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2

A general-purpose expressive algorithm for room-based environments
Sfikas, Konstantinos ; Liapis, Antonios ; Yannakakis, Georgios N. ; et al.

Level design (Computer s... Artificial intelligence Machine learning Evolutionary computation Evolutionary programming... Constrained optimization
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3

On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race
Trujillo, Leonardo ; Álvarez González, Ernesto ; Ponsich, Antonin Sebastien ; et al.

Àrees temàtiques de la U... Evolutionary programming... Genetic programming (Com... Hyper-parameter optimiza... Iterated F- Race Genetic programming …
Fachzeitschrift
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4

Automatic Resolution Selection for Edge Detection Using Genetic Programming
Simulated evolution and learning
Fu, W. ; Johnston, M. ; Zhang, M.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):810-821

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5

Object Recognition by Stochastic Metric Learning
Simulated evolution and learning
Batchelor, O. ; Green, R.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):798-809

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6

Image Segmentation: A Survey of Methods Based on Evolutionary Computation
Simulated evolution and learning
Liang, Y. ; Zhang, M. ; Browne, W.N.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):847-860

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7

A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation
Simulated evolution and learning
Marshall, R.J. ; Johnston, M. ; Zhang, M.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):618-630

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9

Load Balance Aware Genetic Algorithm for Task Scheduling in Cloud Computing
Simulated evolution and learning
Zhan, Z.-H. ; Zhang, G.-Y. ; Ying-Lin ; et al.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):644-655

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11

Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions
Simulated evolution and learning
Chowdhury, S. ; Verma, B. ; Stockwell, D.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):835-846

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12

Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency
Simulated evolution and learning
Naqvi, S.S. ; Browne, W.N. ; Hollitt, C.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):822-834

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13

An Approach for Real-Time Frame Size Adaptation in M-JPEG Streams
Simulated evolution and learning
Ko-Ko-Htet, K. ; Kok-Kiong, T.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):773-784

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15

Beyond the Edge of Feasibility: Analysis of Bottlenecks
Simulated evolution and learning
Bonyadi, M.R. ; Michalewicz, Z. ; Wagner, M.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):431-442

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16

Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics
Simulated evolution and learning
Consoli, P.A. ; Minku, L.L. ; Yao, X.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):359-370

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17

On the Impact of Utility Functions in Interactive Evolutionary Multi-objective Optimization
Simulated evolution and learning
Neumann, F. ; Nguyen, A.Q.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):419-430

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19

Application of Adaptive Streaming Technology in Remotely Driven Electric Vehicles
Simulated evolution and learning
Ko-Ko-Htet, K. ; Narayanan, A.-S. ; Kok-Kiong, T. ; et al.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):735-746

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20

Optimising Wi-Fi Installations Using a Multi-Objective Evolutionary Algorithm
Simulated evolution and learning
While, L. ; McDonald, C.
LECTURE NOTES IN COMPUTER SCIENCE. (8886):747-759

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