We propose a new algorithm, Bayesian-Evolutionary Algorithm that combines time efficiency and data efficiency by combining Bayesian and evolutionary ...
May 4, 2020 · The results show that BEA outperforms both BO and the EA in terms of time efficiency, and ultimately leads to better performance on well-known benchmark ...
Aug 25, 2021 · Bayesian Optimization (BO) invests a lot of com- putation time to generate the candidate solution that best balances the predicted value and the ...
We suggest to measure the efficiency of generate-and-test search algorithms as the expected gain in the objective value per unit of computation time spent. We ...
Mar 1, 2022 · We compare the BEA with BO, the EA, Differential Evolution (DE), and Particle Swarm Optimization (PSO). The results show that BEA outperforms BO ...
May 20, 2020 · We suggest to measure the efficiency of generate-and-test search algorithms as the expected gain in the objective value per unit of computation ...
Mar 23, 2023 · Lan et al. proposed a method that combines Bayesian optimization with evolutionary algorithms to improve the time efficiency of optimization.
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Jul 12, 2020 · You can, recursively, try either evolutionary methods or Bayesian optimization to tune the hyper-parameters! But that introduces more hyper-parameters.
Duration: 1:19
Posted: Jan 17, 2020
Posted: Jan 17, 2020
Nov 20, 2021 · In this paper, we investigate the quality and computation time of optimization algorithms in optimization problems, instead of the one-for-all.