Computer Aided Systems Theory – EUROCAST 2024 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25 – March 1, 2024, Revised Selected Papers, Part I

This three part LNCS volumes constitutes the refereed proceedings of the 19th International Conference on Computer-Aided Systems Theory, EUROCAST 2024, held in Las Palmas de Gran Canaria, Spain, during February 25 to March 1, 2024. 

The 104 full papers included in this book were carefully reviewed and selected from 150 submissions. They were organized in topical sections as follows :

Part I :  Systems Theory, Applications, Pioneers, and Landmarks; Theory and Applications of Metaheuristic Algorithms; Mechatronic Product Development; and Model-Based System Design, Verification and Simulation.

Part II :  Applications of Signal Processing Technology; Applied Data Science and Engineering for Intelligent Transportation Systems and Smart Mobility; Computer and Systems Based Methods and Electronic Tools in Clinical and Academic Medicine ; Systems in Industrial Robotics, Automation and IoT; Systems Thinking: Applications in Technology, Science and Management; and Data Science in Medical and Bio-Informatics.

Part III : Modeling, Simulation, and Optimization in Production and Logistics; "Green AI" and SW-Tools for Sustainable Energy and Materials Consumption; Stochastic Models, Statistical Methods, and Applied Systems Simulations; and Systems Cybersecurity Technologies and Quantum Approaches Potentials.

.- Systems Theory, Applications, Pioneers, and Landmarks.

.- The Application of Named Entity Recognition in Military Intelligence.

.- A System-Theoretical Multi-Agent Approach to Human Computer Interaction.

.- Data Transformation: Limitless Strategies in Energy Consumption.

.- Theory and Applications of Metaheuristic Algorithms.

.- VFLBench: A Practical Benchmark for Vertical Federated Learning in Smart Manufacturing.

.- A Hybrid Cooperative Approach for Symbolic Regression.

.- Comparing Constraint Evaluation Methods for Shape constrained Regression.

.- Re-evaluation in Dynamic Tree-Search with Backtracking from Known Solutions.

.- Application of Adapt-CMSA to the Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries.

.- Optimizing Public Transport Through Integration of Microscopic and Macroscopic Simulations.

.- Automated Inference of Domain Knowledge in Scientific Machine Learning.

.- Automated Guided Vehicles in Yard Logistics: A time dependent approach.

.- Diversity Management in Evolutionary Dynamic Optimization.

.- Tackling the a-Domination Problem Heuristically.

.- A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming.

.- Composable Evolutionary Computation.

.- Solving the Manhattan Metric Straddle Carrier Routing Problem with Buffer Areas using a Hybrid Metaheuristic Method.

.- Route Planning for Parcel Logistics Systems with Reusable Packaging.

.- Selecting User Queries in Interactive Job Scheduling.

.- Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem.

.- A Hybrid Metaheuristic for a Tourist Route Recommender.

.- Learning to Select Promising Initial Solutions for Large Neighborhood Search-Based Multi-Agent Path Finding.

.- A Learning Twolevel Optimization Approach for the Demand Maximizing Battery Swapping Station Location Problem.

.- Learning Value Functions for Same-Day Delivery Problems in the Tardiness Regime.

.- Vectorial Genetic Programming - Optimizing Segments for Feature Extraction.

.- Mechatronic Product Development.

.- Enhancing Manufacturing Efficiency through Integration of MBSE and Capella in the Digital Thread.

.- Leveraging Learning Factories for Mechatronic Systems Development: A Collaborative Approach.

.- CNN Based Radar Kick Sensor Gesture Recognition Prototype.

.- Comparison of Different Battery-powered Tag Positions for Lower Limb Gesture Detection.

.- Model-Based System Design, Verification and Simulation.

.- Comparison of Physiological Data Acquisition for Modeling of drivers in Autonomous Vehicles.

.- Automated control of robots via 5G communication from Multi Accesss Edge Computing.

.- Automatic classification of cow’s behavior during grazing.

.- Programming Learning through the Use of ChatGPT.

.- ChatGTP Language Model as Support for Teaching and Self learning in the Field of Engineering and Technical Sciences.

.- Analytical Conversion of the Strejc Model to the First Order with Time Delay (FOTD) Model.

.- Neural Analysis of Parameters Occurring in a Smart Building.

.- Efficient Manipulation of Control Flow Models in Evolving Software.

.- Textile Sensor Surrogate Modelling using Sparse Identification.

.- Discrimination Criteria for Modeling Association, Aggregation, and Composition in UML Class Diagrams.