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Extensive antibody search with whole spectrum black-box optimization [PDF]
Scientific ReportsIn designing functional biological sequences with machine learning, the activity predictor tends to be inaccurate due to shortage of data. Top ranked sequences are thus unlikely to contain effective ones.
Andrejs Tučs +7 more
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Kriging-based optimization design for a new style shell with black box constraints
Journal of Algorithms & Computational Technology, 2017 Complex engineering applications generally have the black box and computationally expensive characteristics. Surrogate-based optimization algorithms can effectively solve expensive black box optimization problems. This paper employs the kriging predictor
Huachao Dong, Baowei Song, Peng Wang
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Query-Efficient Hard-Label Attack: A Prior-Guided Adam Ray Search Optimization [PDF]
SensorsDeep neural networks are vulnerable to adversarial examples, even in hard-label black-box settings where only the top-1 prediction is available. To address the challenges of high-dimensional optimization under limited query budgets, we propose two query ...
Tianyi Ding +4 more
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Black-Box Optimization for Automated Discovery [PDF]
Accounts of Chemical Research, 2021 In chemistry and materials science, researchers and engineers discover, design, and optimize chemical compounds or materials with their professional knowledge and techniques. At the highest level of abstraction, this process is formulated as black-box optimization.
Kei Terayama +3 more
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Efficient unconstrained black box optimization [PDF]
Mathematical Programming Computation, 2022 AbstractFor the unconstrained optimization of black box functions, this paper introduces a new randomized algorithm called . In practice, matches the quality of other state-of-the-art algorithms for finding, in small and large dimensions, a local minimizer with reasonable accuracy.
Morteza Kimiaei, Arnold Neumaier
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Versatile black-box optimization [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020 Accepted at GECCO ...
Liu, Jialin +6 more
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Optimizing Designs Containing Black Boxes [PDF]
Proceedings of the 34th Design Automation Conference, 1997 We define a notion of equivalence for designs containingblack boxes i.e., components whose functionality is notknown; these arise naturally in the course of hierarchicaldesign. Using this notion, we describe a sound andcomplete methodology for optimizing such designs.
Tai-Hung Liu +3 more
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Discovering representations for black-box optimization [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020 The encoding of solutions in black-box optimization is a delicate, handcrafted balance between expressiveness and domain knowledge -- between exploring a wide variety of solutions, and ensuring that those solutions are useful. Our main insight is that this process can be automated by generating a dataset of high-performing solutions with a quality ...
Gaier, Adam +2 more
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Mathematics, 2023 In order to overcome the drawbacks of expensive function evaluation in the practical reliability-based design optimization (RBDO) problem, researchers have proposed the black box-based RBDO method.
Li Lu, Yizhong Wu, Qi Zhang, Ping Qiao
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Journal of Hydroinformatics, 2023 In contrast to the traditional black box machine learning model, the white box model can achieve higher prediction accuracy and accurately evaluate and explain the prediction results.
Tiexiang Mo, Shanshan Li, Guodong Li
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