Description

Book Synopsis

.- Modeling, Simulation, and Optimization in Production and Logistics.

.- Age-Layer-Population-Structure with Self-Adaptation in Optimization.

.- Machine Learning Update Strategies for Real-time Production Environments.

.- Online Machine Learning for the Estimation of Process Times in Dynamic Scheduling.

.- Concurrent Evolution of Dynamic Single- and Dual-Crane Scheduling Scenarios.

.- Learning-based Algorithm Selection for a Multiprocessor Scheduling Problem.

.- Using the Pilot Method as a Problem-Independent Metaheuristic for Multi-Objective Beam Search.

.- Solving two-machine sum-cost flow shop problem on D-Wave quantum annealer.

.- Integrating Optimization Techniques and Live Tracking Software in Maritime Logistics.

.- Incrementally Solving the Dynamic Stacking Problem.

.- Predicting the Processing Effort for Block Relocation Problems.

.- Modelling Electric Vehicle Routing Problem with Heterogeneous Fleet for Simultaneous Pickup and Delivery.

.- "Green AI" and SW-Tools for Sustainable Energy and Materials Consumption.

.- A Predictive Maintenance Concept for Sustainable Lubricant Oil Usage based on Federated Learning.

.- Introduction to Circular System Design and First Use Cases for Sustainable Product Development in Smart Meter Remanufacturing and Robotics.

.- Elegant Architectures: Sustainability in Information Technology.

.- Surrogates for Fair-Weather Photovoltaic Module Output.

.- How can Digital Twins Help to Accelerate the Transition to a Carbon-neutral Energy System?.

.- Performance and Computation Time Gains caused by Sampling rate Reduction in Time Series Deep Anomaly Detection.

.- Exploring the Green AI potential of Adapter Tuning for Language Models.

.- Stochastic Models, Statistical Methods, and Applied Systems Simulations.

.- Disease Incidence in a Stochastic SVIRS Model with Waning Immunity.

.- A spreaders-ignorants-skeptics model for the spreading of fake news and a related finite birth-death process.

.- Comparing some simulation strategies for first passage times of time-changed Brownian motion.

.- Numerical evaluations for fractional stochastc di erential equations in neuronal dynamics.

.- Handling Uncertainties on the Right-hand Side of a Classical Transportation Model by Stochastic Optimisation and a Matheuristic Approach.

.- Unified Formulations of Entropy and Extropy.

.- Time-inhomogeneous Diffusion Process for the SI Epidemic Model.

.- A Vasicek-type model with structural breaks in the drift.

.- Estimating a time-inhomogeneous hyperlogistic diffusion process.

.- Systems Cybersecurity Technologies and Quantum Approaches Potentials.

.- A Federated Learning-based Android Malware Detector through Differential Privacy.

.- A Generative Model Based Honeypot for Industrial OPC UA Communication.

.- Theoretical Approach to Backdoor Attack on CRYSTALS Dilithium.

.- An IoT Lab Dedicated to Cybersecurity - Teaching, Learning and Research.

Computer Aided Systems Theory EUROCAST 2024

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    £59.99

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback by Alexis Quesada-Arencibia

    15 in stock


      View other formats and editions of Computer Aided Systems Theory EUROCAST 2024 by Alexis Quesada-Arencibia

      Publisher: Springer
      Publication Date: 21/03/2025
      ISBN13: 9783031838873, 978-3031838873
      ISBN10:

      Description

      Book Synopsis

      .- Modeling, Simulation, and Optimization in Production and Logistics.

      .- Age-Layer-Population-Structure with Self-Adaptation in Optimization.

      .- Machine Learning Update Strategies for Real-time Production Environments.

      .- Online Machine Learning for the Estimation of Process Times in Dynamic Scheduling.

      .- Concurrent Evolution of Dynamic Single- and Dual-Crane Scheduling Scenarios.

      .- Learning-based Algorithm Selection for a Multiprocessor Scheduling Problem.

      .- Using the Pilot Method as a Problem-Independent Metaheuristic for Multi-Objective Beam Search.

      .- Solving two-machine sum-cost flow shop problem on D-Wave quantum annealer.

      .- Integrating Optimization Techniques and Live Tracking Software in Maritime Logistics.

      .- Incrementally Solving the Dynamic Stacking Problem.

      .- Predicting the Processing Effort for Block Relocation Problems.

      .- Modelling Electric Vehicle Routing Problem with Heterogeneous Fleet for Simultaneous Pickup and Delivery.

      .- "Green AI" and SW-Tools for Sustainable Energy and Materials Consumption.

      .- A Predictive Maintenance Concept for Sustainable Lubricant Oil Usage based on Federated Learning.

      .- Introduction to Circular System Design and First Use Cases for Sustainable Product Development in Smart Meter Remanufacturing and Robotics.

      .- Elegant Architectures: Sustainability in Information Technology.

      .- Surrogates for Fair-Weather Photovoltaic Module Output.

      .- How can Digital Twins Help to Accelerate the Transition to a Carbon-neutral Energy System?.

      .- Performance and Computation Time Gains caused by Sampling rate Reduction in Time Series Deep Anomaly Detection.

      .- Exploring the Green AI potential of Adapter Tuning for Language Models.

      .- Stochastic Models, Statistical Methods, and Applied Systems Simulations.

      .- Disease Incidence in a Stochastic SVIRS Model with Waning Immunity.

      .- A spreaders-ignorants-skeptics model for the spreading of fake news and a related finite birth-death process.

      .- Comparing some simulation strategies for first passage times of time-changed Brownian motion.

      .- Numerical evaluations for fractional stochastc di erential equations in neuronal dynamics.

      .- Handling Uncertainties on the Right-hand Side of a Classical Transportation Model by Stochastic Optimisation and a Matheuristic Approach.

      .- Unified Formulations of Entropy and Extropy.

      .- Time-inhomogeneous Diffusion Process for the SI Epidemic Model.

      .- A Vasicek-type model with structural breaks in the drift.

      .- Estimating a time-inhomogeneous hyperlogistic diffusion process.

      .- Systems Cybersecurity Technologies and Quantum Approaches Potentials.

      .- A Federated Learning-based Android Malware Detector through Differential Privacy.

      .- A Generative Model Based Honeypot for Industrial OPC UA Communication.

      .- Theoretical Approach to Backdoor Attack on CRYSTALS Dilithium.

      .- An IoT Lab Dedicated to Cybersecurity - Teaching, Learning and Research.

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