Topics
optimizationCultivar (cultivated variety)
Solving new increasingly complex problems requires development of new methods and tools but verification of their correctness and efficiency in absence of actual experimental data is difficult. In this paper we propose an open database of benchmark cases for multidisciplinary optimization validation that will serve as a reference point for discovery and validation of optimization methods and facilitate adoption of such methods in the industry. The paper describes the goals of the database, the process of acquiring content to the database, its initial content and technical implementation.peerReviewe
International audienceExisting studies in black-box optimization for machine learning suffer from lo...
Abstract A comparison of algorithms for multidisciplinary design optimization (MDO) is performed wit...
Numerical validation is at the core of machine learning research as it allows to assess the actual i...
In this thesis we propose a set of reference point based decision support tools for interactive mult...
International audienceAlgorithm benchmarking plays a vital role in designing new optimization algori...
Research on new optimization algorithms is often funded based on the motivation that such algorithms...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
Real-world optimization problems typically involve multiple objectives to be optimized simultaneousl...
Optimization problems are widespread in the mathematical modeling of real world systems and their ap...
International audienceNumerical validation is at the core of machine learning research as it allows ...
International audienceExisting studies in black-box optimization for machine learning suffer from lo...
Abstract A comparison of algorithms for multidisciplinary design optimization (MDO) is performed wit...
Numerical validation is at the core of machine learning research as it allows to assess the actual i...
In this thesis we propose a set of reference point based decision support tools for interactive mult...
International audienceAlgorithm benchmarking plays a vital role in designing new optimization algori...
Research on new optimization algorithms is often funded based on the motivation that such algorithms...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
Real-world optimization problems typically involve multiple objectives to be optimized simultaneousl...
Optimization problems are widespread in the mathematical modeling of real world systems and their ap...
International audienceNumerical validation is at the core of machine learning research as it allows ...
International audienceExisting studies in black-box optimization for machine learning suffer from lo...
Abstract A comparison of algorithms for multidisciplinary design optimization (MDO) is performed wit...
Numerical validation is at the core of machine learning research as it allows to assess the actual i...
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