Natural Computing Cluster

Research areas

At the Natural Computing Cluster (NaCo), part of LIACS at Leiden University, we delve into the fascinating intersection of nature-inspired computation and real-world problem-solving. Our cluster integrates six special interest groups, each pushing the boundaries of Artificial Intelligence, Machine Learning, Optimization, and Data Science.

Our mission is to foster a deep understanding of natural computing and to develop innovative solutions that can address some of the world's most complex problems. By harnessing the power of nature-inspired computing, we aim to contribute to scientific advancement and create a positive impact on society. Research in natural computing is at the core of our activities, covering theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods. Our cluster focuses on a wide array of topics, combining foundational research with practical applications. These include:

• Nature-Inspired AlgorithmsFoundational work in evolutionary computing, metaheuristics and related methodologies.
• Explainable AI (XAI)Advancing fair, interpretable, and transparent AI solutions tailored to diverse industries.
• Algorithm Benchmarking and ConfigurationRigorous evaluation and fine-tuning for optimal algorithmic performance.
• Generative AI and LLM-Aided DesignExploring creative and automated approaches for designing algorithms.
• Quantum ComputingTackling optimization challenges using cutting-edge quantum methodologies.
• Logistics and SustainabilityMachine learning-driven solutions for supply chain, vehicle routing, and green manufacturing.
• Multi-Objective OptimizationEfficient techniques for robust, multimodal, and scalable optimization challenges.

Research

A selection of our current projects, many with industry and international partners.

• Active GenAI & LLMs GenAIDE Exploring disruptive AI technologies and evolving computer-aided engineering. +4 →
• Active GenAI & LLMs FIND Foundation models for industrial sensor and time-series data, with 11 Dutch companies. →
• Active Logistics & sustainability HyPro Improving the efficiency, flexibility and lifetime of electrolysers for green hydrogen production. →
• Active Explainable AI AI Compliance by Design Turning the EU AI Act’s requirements into algorithms and practices for compliant, ethical AI. →
• Active GenAI & LLMs Multi-objective Conceptual Vehicle Design Conceptual vehicle design using optimization and generative AI →
• Research line EC Benchmarking GenAI & LLMs LLaMEA Large Language Evolutionary Algorithm for the automatic design of algorithms. +7 →

All research projects »

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