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Author

Niki van Stein

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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

Optimizing for Difference: LLM-Driven Benchmark Design for Maximum Solver Discriminability

This work proposes an automated framework that generates and refines benchmark suites using large language models (LLMs) and evolutionary search and shows that this combined approach substantially increases discriminability, improving scores from approximately 2.04 to 2.58.

Ananta Shahane, Niki van Stein · 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