Computational Intelligence Assisted Design
In Industrial Revolution 4.0
Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs. This book provides examples of real-world applications of technology. Case studies have been used to show the integration of services, cloud, big data technology and space missions. It focuses on computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation.
This book provides readers with wide-scale information on CI paradigms and algorithms, inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without difficulty through a few tested MATLAB source codes
Table of Contents
Introduction. Hands-On Learning of Computational Intelligence. Global Optimization and Evolutionary Search. Artificial Neural Networks and Learning Systems. Fuzzy Logic and Fuzzy Systems. CIAD and Advanced Computational Intelligence Tools. CIAD - Computational Intelligence Aided Design. Extra-Numerical Multi-objective Optimization. Computational Swarm Intelligence. Evolving Artificial Neural Networks in a Closed Loop. Evolving Fuzzy Decision-Making Systems. Performance Assessment and Metric Indices. CIAD for Science and Technology. Adaptive Bathtub-shaped Curve. Terahertz Spectroscopic Analysis. Evolving a Sliding Robust Fuzzy System. Space Tether for Payload Orbital Transfer. Structural Design for Heat Sinks. Battery Capacity Prediction. Parameter Determination for Fuel Cells. CIAD Towards the Invention of a Microwave-Ignition Engine. Control for Semi-Active Vehicle Suspension System. CIAD for Social Sciences. Exchange Rate Modeling and Decision Support. Quantitative Modeling of Electricity Consumption. CIAD Gaming Support for Electricity Trading Decisions. Dynamic Behavior of Rural Regions with CO2 Emission Estimation. Spatial Analysis of Functional Region of Suburban-Rural Areas. CIAD for Industry 4.0 Predictive Customization. References. Glossary.
Dr. Yi Chen is a lecturer in Dynamics and Control at the School of Engineering and Built Environment at Glasgow Caledonian University.