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Efficient Global Optimization of Expensive Black-Box Functions
Journal of Global Optimization, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Donald R. Jones +2 more
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GECCO black-box optimization competitions
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019The GECCO Workshop on Real-Parameter Black-Box Optimization Benchmarking Series is a series of benchmarking workshops held every year since 2009 that evaluates the performance of new optimization algorithms. Originally, the workshop organizers provided results for every year the workshop took place.
Urban Škvorc +2 more
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Batch Sequential Black-box Optimization with Embedding Alignment Cells for Logic Synthesis
2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022During the logic synthesis flow of EDA, a sequence of graph transformation operators are applied to the circuits so that the Quality of Results (QoR) of the circuits highly depends on the chosen operators and their specific parameters in the sequence ...
Chang Feng +5 more
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Learning Enabled Constrained Black-Box Optimization
2021This chapter looks at the issue of black-box constrained optimization where both the objective function and the constraints are unknown and can only be observed pointwise. Both deterministic and probabilistic surrogate models are considered: the latter, more specifically analysed, are based on Gaussian Processes and Bayesian Optimization to handle the ...
Archetti, F +3 more
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Topic Modelling Black Box Optimization
arXiv.orgChoosing the number of topics $T$ in Latent Dirichlet Allocation (LDA) is a key design decision that strongly affects both the statistical fit and interpretability of topic models.
Roman Akramov +4 more
semanticscholar +1 more source
arXiv.org
Large language models (LLMs) have demonstrated exceptional performance not only in natural language processing tasks but also in a great variety of non-linguistic domains.
Beichen Huang +6 more
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Large language models (LLMs) have demonstrated exceptional performance not only in natural language processing tasks but also in a great variety of non-linguistic domains.
Beichen Huang +6 more
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Black-box optimization benchmarking
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, 2009This paper presents experimental results for the BayEDAcG continuous optimization algorithm on the BBOB noisy benchmark problem suite as part of the GECCO’09 Workshop.
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Diffusion Model for Data-Driven Black-Box Optimization
arXiv.orgGenerative AI has redefined artificial intelligence, enabling the creation of innovative content and customized solutions that drive business practices into a new era of efficiency and creativity.
Zihao Li +6 more
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Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
IEEE Transactions on Evolutionary ComputationIn this survey, we introduce Meta-Black-Box-Optimization~(MetaBBO) as an emerging avenue within the Evolutionary Computation~(EC) community, which incorporates Meta-learning approaches to assist automated algorithm design. Despite the success of MetaBBO,
Zeyuan Ma +4 more
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Black-Box Optimization: Methods and Applications
2021Black-box optimization (BBO) is a rapidly growing field of optimization and a topic of critical importance in many areas including complex systems engineering, energy and the environment, materials design, drug discovery, chemical process synthesis, and computational biology.
Ishan Bajaj +2 more
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