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Author

Anna V. Kononova

Leiden University

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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
#small language model Preprint Sep 2026

EvoMO-SR: Multiobjective LLM-based Evolution of Symbolic Expressions with substructure guidance

EvoMO-SR is proposed, a novel LLM-driven SR framework in which the LLM generates equation skeletons, with their coefficients fitted separately by an external optimizer, which achieves the best accuracy in seven of the eight in-domain and out-of-domain settings for LSR-Synth.

Cristina Rossetti, Anna V. Kononova, Thomas Back et al. · 0 citations
Book Open access Feb 2026

Structural Bias in Multi-objective Optimization

This work introduces a suite of synthetic multi-objective test problems with analytically controlled Pareto fronts and deliberately uninformative objective values, designed to decouple algorithmic behaviour from problem structure, allowing bias induced purely by algorithmic operators and design choices to be observed.

Jakub Kůdela, Niki van Stein, T. Bäck et al. · 0 citations
Book Open access Jul 2026

EvoHIIT: Preference-Based Selection in LLM-Assisted Evolutionary Design of Natural Language Solutions

EvoHIIT, an LLM-assisted evolutionary framework for the design of High-Intensity Interval Training (HIIT) programs, is introduced, and preference-based selection mechanisms are studied to provide empirical insight into human-aligned evolution of natural language solutions.

Johana Chen, Niki van Stein, Robert Cabri et al. · 0 citations

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