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2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) ,
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Genetic Algorithm-Based Pruning for Efficient DenseNet Arch..:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
2
A surrogate model-based genetic algorithm for the optimal p..:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
3
Winner prediction for real-time strategy games through feat..:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
4
An improved predictor of daily stock index based on a genet..:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
5
An optimal oil skimmer assignment based on a genetic algori..:
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ,
6
On the co-authorship network in evolutionary computation:
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ,
7
A genetic algorithm for matching oil spill particles:
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ,
8
A surrogate model using deep neural networks for optimal oi..:
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ,
9
Finding a better basis on binary representation through DNN..:
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ,
10
A daily stock index predictor using feature selection based..:
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ,
11
On the Effect of Walsh/Fourier transform in surrogate-assis..:
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ,
12
A genetic algorithm to optimize SMOTE and GAN ratios in cla..:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
13
Visualizing swarm behavior with a particle density map:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
14
Optimal equipment assignment for oil spill response using a..:
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Computational Intelligence in Music, Sound, Art and Design; Lecture Notes in Computer Science ,
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