Author

Thomas Back

2 papers indexed here

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Preprint Oct 2026

The Modular CMA-ES: A Framework for Modern Evolution Strategies

Since their introduction, modern evolution strategies, such as the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), have become established as powerful methods for continuous black-box optimization. This success has led to a wide range of proposed modifications, each designed to improve performance or behavior...

J. de Nobel, D. Vermetten, Anna V. Kononova et al. · 0 citations

Preprint Sep 2026

DistributedDesignOptimizer: A modular Python framework for Setup, Execution and Processing of Distributed Design Optimization

Multidisciplinary Design Optimization (MDO) enables the application of optimization algorithms to complex engineered systems, ranging from aerospace and automotive to robotics and microelectronics. Such multi-component systems typically consist of coupled subsystems, each characterized by its own design variables, cons...

Sebastian Ellmaier, Albert J. de Wit, Akilesh Raveendran et al. · 0 citations