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1. Analyzing design principles for competitive evolution strategies in constrained search spaces

2. Systematic review, analysis, and characterisation of malicious industrial network traffic datasets for aiding Machine Learning algorithm performance testing

5. Controversy on health-based guidance values for bisphenol A—the need of criteria for studies that serve as a basis for risk assessment

6. Commentary of the SKLM to the EFSA opinion on risk assessment of N-nitrosamines in food

8. Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies

9. Correction: Commentary of the SKLM to the EFSA opinion on risk assessment of N-nitrosamines in food

10. Basic concepts of mixture toxicity and relevance for risk evaluation and regulation

19. Evaluation of the genotoxic potential of acrylamide: Arguments for the derivation of a tolerable daily intake (TDI value)

20. Stellungnahme zu Acetaldehyd als Aromastoff: Aspekte der Risikobewertung

22. NLP for Product Safety Risk Assessment : Towards Consistency Evaluations of Human Expert Panels

23. Salivary nitrate/nitrite and acetaldehyde in humans: potential combination effects in the upper gastrointestinal tract and possible consequences for the in vivo formation of N-nitroso compounds—a hypothesis

24. A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem

25. A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization under Linear Constraints

26. Benchmarking Evolutionary Algorithms For Single Objective Real-valued Constrained Optimization - A Critical Review

28. Dietary glycation compounds – implications for human health.

36. On the Optimization of 2D Path Network Layouts in Engineering Designs via Evolutionary Computation Techniques

42. Ultrasonic treatment as a modern technique to facilitate the extraction of phenolic compounds from organic sunflower seed cakes.

43. Acetaldehyde as a Food Flavoring Substance: Aspects of Risk Assessment

48. Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES

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