
Advances in Computational Intelligence Systems
Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK
Springer (Publisher)
Published on 18. November 2021
Book
Paperback/Softback
XI, 579 pages
978-3-030-87093-5 (ISBN)
Description
This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8-10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
50 s/w Abbildungen, 207 farbige Abbildungen
XI, 579 p. 257 illus., 207 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 32 mm
Weight
885 gr
ISBN-13
978-3-030-87093-5 (9783030870935)
DOI
10.1007/978-3-030-87094-2
Schweitzer Classification
Other editions
Additional editions

Thomas Jansen | Richard Jensen | Neil Mac Parthaláin
Advances in Computational Intelligence Systems
Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK
E-Book
11/2021
Springer
€234.33
Available for download
Content
An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models.- Fuzzy Multi-Criteria Decision-Making: Example of an explainable classification framework.- Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making.- Fuzzy Intelligent System for Improving High Availability of a Docker-Based Hybrid Cloud Infrastructure.- A Study of Neuro-weighted Nearest-neighbour Classification.- Q-Routing with Multiple Soft Requirements.- Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.- Stochasticity improves evolvability in articial gene regulatory networks.- ACO Inspired GA Mutation Applied to the TSP.- Centralised and Decentralised Control of Video Game Agents.