Results 61 to 70 of about 226,052 (275)
The comparison of different PDP-type self-adaptive schemes for the cooperation of GA, DE, and PSO algorithms [PDF]
ITM Web of ConferencesMany global optimization problems are presented as a black-box model, in which there is no information on the objective function properties. Traditional optimization algorithms usually can't effectively solve that kind of problems.
Sopov Anton, Karaseva Tatiana
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Improving the adversarial transferability with relational graphs ensemble adversarial attack
Frontiers in Neuroscience, 2023 In transferable black-box attacks, adversarial samples remain adversarial across multiple models and are more likely to attack unknown models. From this view, acquiring and exploiting multiple models is the key to improving transferability.
Jiatian Pi +5 more
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Effectively Tackling Reinsurance Problems by Using Evolutionary and Swarm Intelligence Algorithms
Risks, 2014 This paper is focused on solving different hard optimization problems that arise in the field of insurance and, more specifically, in reinsurance problems.
Sancho Salcedo-Sanz +4 more
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Agent-Based Collaborative Random Search for Hyperparameter Tuning and Global Function Optimization
Systems, 2023 Hyperparameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, ranging from domain-specific manual tuning guidelines suggested by the oracles ...
Ahmad Esmaeili +2 more
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Distributed Evolution Strategies for Black-Box Stochastic Optimization
IEEE Transactions on Parallel and Distributed Systems, 2022 This work concerns the evolutionary approaches to distributed stochastic black-box optimization, in which each worker can individually solve an approximation of the problem with nature-inspired algorithms. We propose a distributed evolution strategy (DES) algorithm grounded on a proper modification to evolution strategies, a family of classic ...
Xiaoyu He +5 more
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Molecular Oncology, EarlyView.A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers [PDF]
Robotics: Science and Systems XVI, 2020 We consider the problem of generating a time-optimal quadrotor trajectory for highly maneuverable vehicles, such as quadrotor aircraft. The problem is challenging because the optimal trajectory is located on the boundary of the set of dynamically feasible trajectories.
Ryou, Gilhyun +2 more
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A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression
Molecular Oncology, EarlyView.Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak +8 more
wiley +1 more source
Prompt Optimization in Large Language Models
MathematicsPrompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary.
Antonio Sabbatella +4 more
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Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization
Algorithms, 2021 In this paper, we investigate how systemic errors due to random sampling impact on automated algorithm selection for bound-constrained, single-objective, continuous black-box optimization.
Mario Andrés Muñoz, Michael Kirley
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