Evolutionary Computation Digest — Friday, 18 November 2016, Volume 30: Issue 9

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NEW LIST ARCHIVE:      http://listserv.gmu.edu/cgi-bin/wa?A0=EC-DIGEST-L

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Today's Topics:

 Announcements
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 - Postdocs in Stochastic Optimization, Deep Learning and Information Geometry at RIST, Romania
 - 11 December: Research Fellow/Postdoc position (Operations Research/ Optimisation/ Computational Intelligence) in the UK
 - 15 December: PhD Student Opportunity at MIT Computer Science and Artificial Intelligence Lab, AnyScale Learning for All Group

 CFPs (with submission deadline)
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 - 20 November: 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2017)
 - 21 November: IEEE Workshop on Parallel/Distributed Computing and Optimization (PDCO 2017)
 - 15 December: *Deadline extended*—Special Issue in the IEEE Transactions on Computational Intelligence and AI in Games
 - 31 December: IEEE Transactions on Emerging Topics in Computational Intelligence Special Issue on "Emergent Topics in Artificial Immune Systems"
 - 12 January, 2017: FOGA 2017 Call for Participation
 - 16 January, 2017: CEC 2017 Call for Papers
 - 27 January, 2017: GECCO 2017 Call for papers, competitions, tutorials, and special sessions
 - 07 April, 2017: Special Issue: "Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization" of the "Mathematical Problems in Engineering" Journal


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CALENDAR OF EC-RELATED ACTIVITIES:

12–15 January, 2017, Copenhagen, Denmark: The 14th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XIV)

19–21 April, 2017, Amsterdam, The Netherlands: Evostar 2017

5–9 June, 2017, San Sebastian, Spain: IEEE Conference on Evolutionary Computation (CEC 2017)

15-19 July, 2017, Berlin, Germany: Genetic and Evolutionary Computation Conference (GECCO 2017)



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Sender: Luigi Malagò <[log in to unmask]>
Subject: Postdocs in Stochastic Optimization, Deep Learning and Information Geometry at RIST, Romania

The Romanian Institute of Science and Technology (RIST) has an opening for 3 postdoc positions, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 2 years, with possible extensions up to 4 years. 

The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. 

The positions will be part of the new Machine Learning and Optimization group, which will be performing research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, including nature-inspired optimization algorithms, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired in the next year.

The official job announcement can be seen here:
http://rist.ro/en/details/news/postdoc-positions-in-machine-learning-optimization-deep-learning-and-information-geometry.html

# How to Apply #

In order to apply to this position, the candidate should send an email to [log in to unmask], mentioning in the subject of the email "DeepRiemann Postdoc Application". The email should include among the attachments:

- A cover letter
- A complete CV with full list of publications
- A short research statement (max 3 pages), which describes your research interests and explain why your skills, knowledge and experience makes you a suitable candidate for one or more of the open positions
- The pdfs of 2 selected publications
- Name and contact information of up to 3 referees, which will be contacted directly by the institute for a reference letter

Informal inquiries can be sent to Dr. Luigi Malagò <[log in to unmask]>, Principal Investigator of the DeepRiemann project. 


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Sender: Nguyen, Trung Thanh <[log in to unmask]>
Subject: Research Fellow/Postdoc position (Operations Research/ Optimisation/ Computational Intelligence) in the UK

Salary: £32,004 - £38,183 per annum.
Terms: 12 months fixed term.
Deadlines (corrected): 11th December 2016.

Dear Colleagues,

 

My apologies for cross-posting. 

 

We are re-advertising a research fellow/postdoc position in Operations Research/ Optimisation/ Computational Intelligence for Transport/Logistics.

 

The required qualification and experience is a PhD or near PhD completion in Computing, Engineering or Mathematics or other relevant areas with a focus on operational research or computational intelligence, and a proportionate publication record. The successful candidate should have strong programming skills and experience in working with combinatorial problems and/or discrete-event or multi-agent simulation.

 

Could you please kindly forward this to any interested colleagues/candidates? Thank you very much.

 

Interested candidates please submit your application to our LJMU website:

https://jobs.ljmu.ac.uk/intranet/wd_portal.list?p_web_site_id=4005&p_function=text&p_show_results=Y&p_text=+1691

 

Please also send your CV and transcripts to Dr. Trung Thanh Nguyen [log in to unmask] for informal discussions.

 

Best regards

 

Thanh



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Sender: Una-May O'Reilly <[log in to unmask]>
Subject: PhD Student Opportunity: MIT Computer Science and Artificial Intelligence Lab, AnyScale Learning for All Group


The ALFA (AnyScale Learning for All) Group at MIT CSAIL has an opening for a PhD student entering in Fall 2017. 


Evolutionary computation unifies our projects in cybersecurity and software synthesis. We study adversarial dynamics and machine learning through program search. Undergraduates with a strong background in computer science and interest in networks, computer security and evolutionary algorithms are excellent candidates. Please forward this email to applicable student and encourage them to apply.

Applicants must apply through the Electrical Engineering and Computer Science Dept of MIT: see http://www.eecs.mit.edu/academics-admissions/graduate-program.  The application deadline is DECEMBER 15, 2016.  Apply using the EECS on-line admissions site


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Sender: Hanne Thomas <[log in to unmask]>
Subject: 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2017)


2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2017), March 25-27, 2017, Hong Kong

http://www.ismsi.org

 

The 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2017) will be held in Hong Kong during March 25-27, 2017. The main objective of ISMSI 2017 is to present the latest research and results of scientists related to Intelligent Systems, Metaheuristics & Swarm Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up-to-date scientific fields.

 

 Important Dates

Submission Deadline: November 20th, 2016

Notification Date: December 20th, 2016

Registration Deadline: January 10th, 2017

Conference Dates: March 25-27, 2017

 

Submission Methods

1. To publish the full paper into conference proceedings & give the oral presentations, please send us the full paper. 

2. To give a presentation only, please just send us the abstract.

Please log in the Electronic Submission System (https://www.easychair.org/conferences/?conf=ismsi2017); ( .pdf only) to submit your full paper and abstract.

 

For any inquiry about the conference, please feel free to contact us at:[log in to unmask]



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Sender: Grégoire DANOY <[log in to unmask]>
Subject: CFP: IEEE Workshop on Parallel / Distributed Computing and Optimization (PDCO 2017) in conjunction with IEEE IPDPS 2017


       The 7th IEEE Workshop on Parallel / Distributed 
          Computing and Optimization (PDCO 2017) 
                                 (PDCO’17)
         https://pdco2017.sciencesconf.org

                      held in conjunction with
                      The 31st IEEE International 
Parallel and Distributed Processing Symposium  (IPDPS’2017)
                             May 29-June 2, 2017

                            Orlando, Florida, USA
                             http://www.ipdps.org

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Submission Deadline: November 21, 2016
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PDCO 2017, Orlando USA, is the result of the merge of the seventh Parallel Computing and Optimization (PCO) and the twentieth Nature Inspired Distributed Computing (NIDISC) workshops that have been held in conjunction with the IEEE International Parallel and Distributed Processing Symposium for the past years.


Important Dates:
================
- Submission Deadline: November 21, 2016
- Notification of acceptance: January 16, 2017
- Camera ready: March 15, 2017
- Workshop: May 29, 2017

Prospective authors should submit their papers through Workshop PDCO 2017 submission system: i.e. EasyChair:

https://easychair.org/conferences/?conf=pdco2017


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Sender: Christian Igel <[log in to unmask]>

Subject: **Deadline extended to 15 Dec** Special Issue in the IEEE Transactions on Computational Intelligence and AI in Games


We just prolonged the ** deadline to 15 December 2016 ** of the

Special Issue on Computational Intelligence in Serious Digital Games of the
*** IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG) ***

http://www.graham-kendall.com/TCIAIG/wp-content/uploads/2016/07/SG.pdf

Submissions should be 8 to 12 pages long, but ** short papers of 4 to 6 pages are also invited **.

Please let us know if you are planning to submit a paper - this will allow us for better planning.
Please also note that the extended deadline will not be further prolonged. More info is given also below.

All the best and thank you,

Björn Schuller, Lucas Paletta, Peter Robinson, Nicolas Sabouret, Georgios N. Yannakakis
Guest Editors

Deadline for submissions: ** NEW ** 15 December 2016
Final copy due: 15 May 2017
Notification of Acceptance: 15 February 2017
Expected Publication: June 2017



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Sender: Wenjian Luo <[log in to unmask]>
Subject: Call for Papers - IEEE TETCI Special Issue on "Emergent Topics in Artificial Immune Systems"


CALL FOR PAPERS

IEEE Transactions on Emerging Topics in Computational Intelligence

Special Issue on “Emergent Topics in Artificial Immune Systems”


The Artificial Immune System is a fast developing research area in the Computational Intelligence community. As a kind of computationally intelligent systems, Artificial Immune Systems (AISs) are inspired by the information processing mechanism of biological immune system. The typical models/algorithms of AISs include Clonal Selection Algorithms, Negative Selection Algorithms, Immune Network Algorithms, Dendritic Cell Algorithms, Negative Databases, Negative Surveys, and so on.

The models/algorithms of AISs have been applied into various applications. With the fast development of AISs, some emergent topics have received a lot of attention. Specially, the promises and challenges of immune models/algorithms for cyber-security, fault tolerance and self-organization are worth paying more attention to. The topics of this special issue focus on cyber-security, fault tolerance and self-organization through Artificial Immune Systems. Topics of interest include, but are not limited to:

1.     Artificial immune systems for cyber-security: system security, network security, information assurance, authorization, secure cloud computing, secure multi-party computation, fraud detection, big data security, data privacy, privacy-preserving data mining, privacy-preserving data publishing, sensitive data collection, etc.

2.     Artificial immune systems for fault tolerance: fault prediction, fault detection, fault diagnosis, fault recovery, on-line detection and recovery, fault-tolerant embedded systems, fault-tolerant middleware, survivable techniques, robotics, etc.

3.     Artificial immune systems for self-organization and adaptation: self-organizing computing systems, foundational models of self-organizing behaviors, networking models and techniques for self-organizing systems, applications of self-organizing systems, autonomic computing, etc.

Submitted articles must not have been previously published or currently submitted for conference/journal publication elsewhere. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computational Intelligence Society web site, http://cis.ieee.org. Please thoroughly read these before submitting your manuscript. Please submit your paper to Manuscript Central at https://mc.manuscriptcentral.com/tetci-ieee.

Please note the following important dates.

Initial Paper Submission: December 31, 2016
Initial Paper Decision: March 1, 2017
Revised Paper Submission: April 1, 2017
Final Decision (Reject/Accept): May 1, 2017
Publication Date (Provisional): June, 2017



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Sender: Christian Igel <[log in to unmask]>
Subject: FOGA 2017: Call for Participation

We would like to invite you to

The 14th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XIV)
12-15 January 2017, Copenhagen, Denmark
http://foga-2017.sigevo.org

FOGA is the premier event on the theoretical foundations of evolutionary computation and randomised search heuristics in general.

Please find the list of papers selected for presentation, information on social events and the keynote lecture by Mikkel Thorup, as well as the online registration on the conference homepage: http://foga-2017.sigevo.org/

We have a limited sum of money for student travel support thanks to ACM SIGEVO. Students wishing to apply are asked to send an email to [log in to unmask]. Priority will be given to students with accepted papers.

We look forward to seeing you in Copenhagen!



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Sender: Roberto Santana <[log in to unmask]>

Subject: IEEE CEC 2017 San Sebastian, Spain: Call for papers, competitions, tutorials, and special sessions.


We are pleased to announce that the 2017 IEEE Conference on Evolutionary Computation (www.cec2017.org)  will be held in San Sebastian, Spain, in June 5-8, 2017.

IEEE CEC  is a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote lectures, regular and special sessions, tutorials, and competitions as well as poster presentations. In addition, participants will be treated to a series of social functions, receptions, and networking to establish new connections and foster everlasting friendship among fellow counterparts.

Important Dates:

Submission deadline for special sessions: November 7, 2016
Deadline for the submission of tutorials and competitions proposals: January  9, 2017
Paper submission deadline: January 16, 2017
Paper Decision notification: February 26, 2017


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Sender: Javier Ferrer <[log in to unmask]>
Subject: [GECCO 2017] CFP: Genetic and Evolutionary Computation Conference 2017


** Call for Papers **

2017 Genetic and Evolutionary Computation Conference (GECCO 2017)
July, 2017, Berlin, Germany
http://gecco-2017.sigevo.org/

The Genetic and Evolutionary Computation Conference (GECCO 2017) will present the latest high-quality results in genetic and evolutionary computation. Topics include: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, memetic algorithms, hyper heuristics, real-world applications, evolutionary machine learning, evolvable hardware, artificial life, adaptive behavior, ant colony optimization, swarm intelligence, biological applications, evolutionary robotics, coevolution, artificial immune systems, and more.

The GECCO 2017 Program Committee invites the submission of technical papers describing your best work in genetic and evolutionary computation. Abstracts need to be submitted by January 30, 2017. Full papers are due by the non-extensible deadline of February 6, 2017. Note that the submission system will be online from November, 14 on the official site.

Important Dates:

Abstract Deadline:                January 27, 2017
Submission of Full Papers:        February 6, 2017
Conference [tentative]:            15-19 July, 2017



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Sender: David Juan Greiner Sánchez <[log in to unmask]>
Subject: Special Issue: "Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization" of the "Mathematical Problems in Engineering" Journal


Call for Papers:
"Mathematical Problems in Engineering" Journal

Special Issue:
"Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization"

The potential advances in the use of evolutionary algorithms and metaheuristics in engineering applications bring an opportunity and also a challenge for researchers to improve and advance in design and optimization of products, systems, and services for societal benefit. The purpose of this special issue is to publish high-quality research articles as well as reviews that seek to address recent development from a variety of engineering fields relating to the application of evolutionary algorithms and metaheuristics for design and optimization and that will stimulate the continuing efforts to improve the current state of the art on the aforementioned field.

The proposal and application of recent and new algorithms (belonging to paradigms, e.g., genetic algorithms, evolution strategies, differential evolution, and particle swarm) as well as focus on development aspects, such as including surrogate modeling, parallelization, game theory, and hybridization, are encouraged. Advances of these methods for engineering applications are welcomed, both for single-objective and multiobjective optimization problems.

Potential topics include but are not limited to the following:

    Aerospace and aeronautical engineering
    Biomedical engineering
    Chemical engineering
    Civil engineering
    Electrical engineering
    Electronics engineering
    Industrial engineering
    Mechanical engineering
    Naval architecture
    Reliability engineering
    Structural engineering
    Telecommunications engineering

https://www.hindawi.com/journals/mpe/si/432036/cfp/

Manuscript Due    Friday, 7 April 2017
First Round of Reviews    Friday, 30 June 2017
Publication Date    Friday, 25 August 2017



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 End of Evolutionary Computation Digest
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