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The proposed algorithm is compared with standard NSGA-II on multiple benchmarks.
Experiments show that our approach provides consistent improvements over the state of the art results on multiple benchmarks.
In the current era of sustainable development, energy planning has become complex due to the involvement of multiple benchmarks like technical, social, economic and environmental.
Extensive experiments on multiple benchmarks demonstrate that the proposed model consistently performs better than conventional convolutional networks on classifying fine-grained object classes in low-resolution images.
Using multiple benchmarks and performance measurements on the US Oak Ridge National Laboratory Titan supercomputer, we demonstrate that our code PKDGRAV3, delivers, to our knowledge, the fastest time-to-solution for large-scale cosmological N-body simulations.
We also extend their study by (1) including additional experimental data for benchmarking, (2) testing multiple codes for multiple benchmarks, (3) evaluating both model accuracy and CPU efficiency, and (4) interpreting experimentally based benchmarking results in the context of natural lava flows.
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The central bank has also pursued a fiddly approach to monetary policy, with multiple benchmark rates.
Numerical experiments investigate the robustness and the performance of the algorithm through multiple benchmark optimisation problems.
The effectiveness of the proposed method is demonstrated via careful experimental designs and thorough comparative analyses using multiple benchmark datasets.
Results of experiments tested on multiple benchmark functions show that the proposed method is effective and has good performance.
It has previously been demonstrated that CFO is effective when compared with other metaheuristic techniques when applied to multiple benchmark problems and some real world applications.
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