Natural Computation Special Issue – Visualisation in Evolutionary Computation

Special Issue of Springer's Natural Computation – Visualisation in Evolutionary Computation

Scope and objectives

Visualisation is a crucial tool in evolutionary computation (EC), enabling vital insight and understanding about algorithm operation and problem landscapes, as well as enabling decision makers to explore solution sets comprising large numbers of conflicting objectives. In addition to visualising the solutions generated by an EC process, the processes themselves can be visualised to provide algorithm users with information about how successful their optimisers are. Advances in animation and the prevalence of digital displays, along with improvements in processing power, mean that it is possible to use visualisation methods to illustrate aspects of an algorithm’s performance in real time.
The focus of this special issue is to highlight the current state-of-the-art in visualisation research within evolutionary computation. In addition to including extensions of papers from GECCO’s “Visualisation in Genetic and Evolutionary Computation” workshop (VizGEC 2021) we are soliciting novel contributions from the wider community.
Topics
Topics of interest for this special issue include (but are not limited to) the following:
  • visualisation of the evolution of a synthetic population;
  • visualisation of algorithm operation;
  • visualisation of problem landscapes;
  • visualisation of multi-objective trade-off sets;
  • the use of genetic and evolutionary techniques for visualising data;
  • novel technologies for visualisation within genetic and evolutionary computation;
  • visualisation to facilitate interactive evolution;
  • visualisation in real-world applications.
Submission guidelines

Submitted manuscripts must not have been published or simultaneously submitted elsewhere. For extended papers, at least 30% additional material beyond that in the published proceedings is expected. Each paper (extended or not) will receive thorough peer reviews and evaluation. Papers will be selected based on their originality, scientific and technical quality of the contributions, organisation and presentation and relevance to the special issue. When submitting your manuscript please select “SI: VizGEC” as the article type. In order to ensure timely publication manuscripts must be submitted before 19 December 2021.
Please ensure you read the Guide for Authors before writing your manuscript. Manuscripts should be formatted according to the journal's formatting instructions. The Guide for Authors and link to submit your manuscript is on the journal’s home page, https://www.springer.com/journal/11047.
Important dates
  • Paper submission due: 19 December 2021
  • First-round acceptance decision notification: 3 March 2022
  • First revision submission due: 1 May 2022
  • Second-round acceptance decision notification: 1 June 2022
  • Notification of final decision: 1 August 2022
Guest editors

Dr David Walker
University of Plymouth, UK
Prof. Richard Everson
University of Exeter, UK
Prof. Neil Vaughan
University of Exeter, UK
Dr Rui Wang
Uber AI, USA

Email: ruiwang@uber.com

Dr David Walker
Lecturer in Computer Science
UG Computing Programmes Manager
University of Plymouth


Call for Papers (Deadline Extended)

 
 
 
 
 
 
 

Dear Researcher / Academician,

With immense pleasure we would like to inform you that the paper submission deadline has been extended till 15 October, 2021 for the second IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT 2021), which will be held on 16-17 December 2021 at Universidad Don Bosco, El Salvador, will be jointly organized by Universidad Don Bosco El Salvador (UDB), Universidad Panamerica (UP) México and IEEE El Salvador Section.

ICMLANT will entice insightful plenary talks, keynote addresses, hands-on workshops, and tutorials by pioneers in academic research, industrial practice, and domain experts. Researchers, academicians, or industry people from multiple countries and diversified research areas will get an excellent opportunity to present in front of top leaders from academia, research as well as industry. The frontiers of research will be presented through submitted technical paper presentations.

Dear authors, don't miss the golden opportunity to present your paper on our technologically diversified and worldwide platform.

Before submitting your manuscripts, have a checkpoint on the topics for submission cover the following area, but not limited to:

Artificial Intelligence and Machine Learning
Machine Learning and Deep Learning
Fuzzy Systems
Smart Manufacturing
Chatbots
Virtual Reality
Robotics

Cyber-Physical Systems
5G Network
Grid,Cloud & Accelerator Computing
Smart Cities
New networks models
Industry 4.0 Architectures
Cloud & Fog Computing

Internet of Things
Signal Processing
Intelligent Object Identification
IoT and Sensors
IoT in Healthcare and IoMT
Software-Defined Network (SDN)
IoT Developments for Sustainability
Signal Processing
Digital Signal Processing
Computer Vision
Sensors
Smart metering
Image & Video processing
Natural Language Processing

We have some prominent researchers from academia as our keynote speakers, who have significant contributions to technological research and development.

IMPORTANT DATES:
Submission of Full Paper: 15 October, 2021
Notification of Acceptance: 5 November, 2021
Submission of Camera Ready Papers: 10 November, 2021
Authors' Registration Deadline: 25 November, 2021
Conference Dates: 16-17 December, 2021

The authors with an EasyChair account, can submit their original, unpublished manuscripts by clicking on the following URL:

https://easychair.org/my/conference?conf=icmlant2021

All accepted and presented papers of ICMLANT 2021 will be submitted to IEEE Xplore Library and other major indexings.

Please visit our conference website (www.icmlant.com) to know detailed information about the registration process and author guidelines for submission.

!! Important Announcement!!

Due to present COVID-19 pandemic situation, the conference will be organized in hybrid mode (Both online and offline).

In case you have any query, please feel free to write mail to us, we will be happy to assist you to enable your participation in ICMLANT 2021.

ICMLANT Chair
icmlant@gmail.com
manuel.cardona@ieee.org

 
 
 
 
 
 
IEEE App
 
 
 
 
 
 

Call for Paper | ICCIS 2021| Proceedings in SCOPUS Indexed Springer Book Series LNNS

Dear Sir/Madam,


Greetings from Soft Computing Research Society and National Institute of Technology Delhi, India!


Pleased to share that the National Institute of Technology Delhi, India, will organize the 3rd International Conference on Communication and Intelligent Systems (ICCIS 21) in association with the Soft Computing Research Society (SCRS), New Delhi. The conference will be organized in Virtual Format (due to the ongoing COVID19 pandemic) during December 18-19, 2021. The ICCIS21 aims to bring the researchers, academicians, industry, and government personnel together to share and discuss the various aspects of Communication and Intelligent Systems. The conference will witness multiple eminent keynote speakers from academia and industry worldwide, along with the presentation of accepted peer-reviewed articles. The after-conference proceedings of the ICCIS21 will be published in SCOPUS Indexed Springer Book Series, ‘Lecture Notes in Networks and Systems’. For more details, please visit the conference website: https://www.iccis21.scrs.in/.


The topics covered (but are not limited to) in the conference are as follows:

1.      Intelligent System: Concepts and Algorithms

2.      Intelligent Data Analytics and Computing

3.      Informatics and Applications

4.      Communication and Control Systems

Submission Deadline: October 20, 2021

Submission Link: https://easychair.org/conferences/?conf=iccis21

CONTACT US: scrs.iccis@gmail.com | https://www.iccis21.scrs.in/

COGNITIVE 2022 || April 24 – 28, 2022 – Barcelona, Spain

CALL FOR PAPERS, TUTORIALS, PANELS

COGNITIVE 2022, The Fourteenth International Conference on Advanced Cognitive Technologies and Applications

General page: https://www.iaria.org/conferences2022/COGNITIVE22.html

Submission page: https://www.iaria.org/conferences2022/SubmitCOGNITIVE22.html

Event schedule: April 24 – 28, 2022

Contributions:

– regular papers [in the proceedings, digital library]

– short papers (work in progress) [in the proceedings, digital library]

– ideas: two pages [in the proceedings, digital library]

– extended abstracts: two pages [in the proceedings, digital library]

– posters: two pages [in the proceedings, digital library]

– posters:  slide only [slide-deck posted at www.iaria.org]

– presentations: slide only [slide-deck posted at www.iaria.org]

– demos: two pages [posted at www.iaria.org]

Submission deadline: January 10, 2022

Extended versions of selected papers will be published in IARIA Journals:  https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html

COGNITIVE 2022 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2022/CfPCOGNITIVE22.html

============================================================

COGNITIVE 2022 Tracks (topics and submission details: see CfP on the site)

NEW DIRECTIONS: Hot topics on cognitive science

Neuroscience; Brain connectivity; Brain-like Computing; Neuromorphic computing; Neuromorphic devices; Brain machine interface; Interfacing via brain waves; Spiking hierarchical models; Vision sensors; Sensory modalities; Temporal approach to object recognition; Hierarchical temporal memory; Spatio-temporal event recognition; Reasoning with relative directions; Web-navigation via Cognitive Models; Mining cognitive patterns; Bag-of-Features for retrievals; Computing with symmetries; Periphery of Knowledge; Emotions and cooperation levels

BRAIN: Brain information processing and informatics

Cognitive and computation models; Human reasoning mechanisms; Modeling brain information processing mechanisms; Brain learning mechanisms; Human cognitive functions and their relationships; Modeling human multi-perception mechanisms and visual, auditory, and tactile information processing; Neural structures and neurobiological process; Cognitive architectures; Brain information storage, collection, and processing; Formal conceptual models of human brain data; Knowledge representation and discovery in neuroimaging; Brain-computer interface; Cognition-inspired complex systems; Aesthetic emotions

COGNITION: Artificial intelligence and cognition

Expert systems, knowledge representation and reasoning; Reasoning techniques, constraint satisfaction and machine learning; Logic programming, fuzzy logic, neural networks, and uncertainty; State space search, ontologies and data mining; Games, planning and scheduling; Natural languages processing and advanced user interfaces; Cognitive, reactive and proactive systems; Ambient intelligence, perception and vision; Pattern recognition

MACHINE LEARNING: Advanced topics in Deep/Machine learning

Distributed and parallel learning algorithms; Collective cognition; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning  applications; Machine learning for systems.

AGENTS: Agent-based adaptive systems

Agent frameworks and development platforms; Agent models and architectures; Agent communication languages and protocols; Cooperation, coordination, and conversational agents; Group decision making and distributed problem solving; Mobile, cognitive and autonomous agents; Task planning and execution in multi-agent systems; Security, trust, reputation, privacy and safety in agent-based systems; Negotiation brokering and matchmaking in agent-oriented protocols; Web-oriented agents (mining, semantic discovery, navigation, etc.; SOA and software agents; Economic agent models and social adoption

AUTONOMY: Autonomous systems and autonomy-oriented computing

Self-organized intelligence nature-inspired thinking paradigms; Swarm intelligence and emergent behavior; Autonomy-oriented modeling and computation; Coordination, cooperation and collective group behavior; Agent-based complex systems modeling and development; Complex behavior aggregation and self-organization; Agent-based knowledge discovery and sharing; Autonomous and distributed knowledge systems; Autonomous knowledge via information agents; Ontology-based agent services; Knowledge evolution control and information filtering agents; Natural and social law discovery in multi-agent systems; Distributed problem solving in complex and dynamic environments; Auction, mediation, pricing, and agent-based market-places; Autonomous auctions and negotiations

APPLICATIONS

Agent-oriented modeling and methodologies; Agent-based interaction protocols and cognitive architectures; Emotional modeling and quality of experience techniques; Agent-based assistants and e-health; Agent-based interfaces; Knowledge and data intensive classification systems; Agent-based fault-tolerance systems; Learning and self-adaptation via multi-agent systems; Task-based and task-oriented agent-based systems; Agent-based virtual enterprise; Embodied agents and agent-based systems applications; Agent-based perceptive animated interfaces; Agent-based social simulation; Socially planning; E-Technology agent-based ubiquitous services and systems

Call for Paper | ICCIS 2021| Proceedings in SCOPUS Indexed Springer Book Series LNNS

Greetings from Soft Computing Research Society and National Institute of Technology Delhi, India!


Pleased to share that the National Institute of Technology Delhi, India, will organize the 3rd International Conference on Communication and Intelligent Systems (ICCIS 21) in association with the Soft Computing Research Society (SCRS), New Delhi. The conference will be organized in Virtual Format (due to the ongoing COVID19 pandemic) during December 18-19, 2021. The ICCIS21 aims to bring the researchers, academicians, industry, and government personnel together to share and discuss the various aspects of Communication and Intelligent Systems. The conference will witness multiple eminent keynote speakers from academia and industry worldwide, along with the presentation of accepted peer-reviewed articles. The after-conference proceedings of the ICCIS21 will be published in SCOPUS Indexed Springer Book Series, ‘Lecture Notes in Networks and Systems’. For more details, please visit the conference website: https://www.iccis21.scrs.in/.


The topics covered (but are not limited to) in the conference are as follows:

1.      Intelligent System: Concepts and Algorithms

2.      Intelligent Data Analytics and Computing

3.      Informatics and Applications

4.      Communication and Control Systems

Submission Deadline: October 20, 2021

Submission Link: https://easychair.org/conferences/?conf=iccis21

CONTACT US: scrs.iccis@gmail.com | https://www.iccis21.scrs.in/

Design by 2b Consult