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EC-DIGEST-L  September 2020

EC-DIGEST-L September 2020


EC-Digest v34n9


Eric 'Siggy' Scott <[log in to unmask]>


Evolutionary Computation Digest <[log in to unmask]>


Fri, 4 Sep 2020 09:56:11 -0400





text/plain (601 lines)

Evolutionary Computation Digest — Friday, 04 September 2020, Volume 34: Issue 9

SUBMISSION ADDRESS:    [log in to unmask]

(UN)SUBSCRIPTION INSTRUCTIONS:  at the bottom of this email

Today's Topics:

- 17 September: Full UK PhD scholarships in operational
computation/optimisation/simulation/computational intelligence/data
- "The Pulse of AI" podcasts
- Book announcement: Rise of the Self-Replicators

 CFPs (with submission deadline)
 - 15 September: SAC track on Application of Evolutionary Computation
(Gwangju, South Korea)
 - 21 September: HPCS Workshop on the Synergy between Parallel
Computing, Optimization and Simulation
 - 30 September: Entropy Special Issue: "Artificial Intelligence and
Complexity in Art, Music, Games and Design"
 - 31 October (Posters): Theory and Practice of Natural Computing (TPNC; Taiwan)
 - 01 November: EvoStar 2021 (Seville)
 - 01 November: EuroGP @ EvoStar 2021 (Seville)
 - 01 November: EvoMusart @ EvoStar 2021 (Seville)
 - 01 November: EvoCOP @ EvoStar 2021 (Seville)
 - 03 April, 2021: Workshop on Foundations of Genetic Algorithms
(FOGA; Dornbirn, Austria)


September 7–9, 2020, Leiden, The Netherlands: PPSN 2020

April 7–9, 2021, Seville, Spain: EvoStar 2012

Sender: "Nguyen, Trung Thanh" <[log in to unmask]>
Subject: Deadline: 17th September – Full UK PhD scholarships in
operational research/ evolutionary
computation/optimisation/simulation/computational intelligence/data

Thanks to an arisen opportunity, we at the Operational Research (OR)
group, Liverpool John Moores University (United Kingdom) may be able
to offer a small number of PhD scholarships (full or tuition-fees-only
depending on the quality of the candidate).

At the moment the scholarships are for UK/EU/settled students only (we
hope we will have one for international students soon):

 * Deadline 17th September 2020. Results to be known in October 2020.
 * provide full tuition fees for three years and,
 * living expenses + running cost cover of over £16,500 each year (to
be determined) for 3 years
 * students have to enrol in January/February 2021
 * Brexit will not have any impact on these scholarships

Regarding research topic, any area in OR/optimisation/simulation/data
analytics/computational intelligence/IoT/ transportation/logistics
would be acceptable. Please have a look at this link for some examples
of our current/past projects on air quality and green transportation . Other projects that we have been/ are
running include:

 * Evolutionary computation or meta-heuristics or heuristics
 * OR/optimisation/simulation/data analytics applications in rail, in
partnership with Merseyrail, Network Rail, and Rail Delivery Group
 * OR applications/data analytics in maritime, in partnership with UK,
EU and overseas ports
 * OR applications/data analytics in sustainable transportation, e.g.
bicycle, e-bikes, walking, buses, emission/congestion reduction etc.,
in partnership with local authorities and transport authorities (e.g.
the ones in Liverpool and Manchester)
 * OR applications in logistics (e.g. bin packing, vehicle routing
etc.) in partnership with logistics companies, especially those in
airports, ports, and manufacturing plants (especially those in
 * OR applications in manufacturing, in partnership with car
manufacturers e.g. Vauxhall and Jaguar Land Rover.
 * IoT and intelligent sensors for active travel. We have developed a
number of applications on this and already have a network of IoT
sensors across Liverpool City Region.

Interested candidates please contact Dr. Trung Thanh Nguyen
[log in to unmask] with your full CV and transcripts. It is
important that interested candidates contact me ASAP to ensure that we
can prepare your applications in the best way to maximise your chance
before the deadline of 17th September.

Sender: Risto Miikkulainen <[log in to unmask]>
Subject: The Pulse of AI podcasts

Jason Stoughton’s “The Pulse of AI” podcast series recently featured
discussions with Stephanie Forrest, Joydeep Ghosh, Babak Hodjat, Quoc
Le, Risto Miikkulainen, Jordan Pollack, and Ken Stanley on topics such
as AutoML, Trustworthy AI, Open-ended AI, Biological vs. Computational
Evolution, and Demystifying AI. The links to these podcasts, together
with a more detailed list of questions discussed, are listed at — we hope you find them inspiring!

Sender: Tim Taylor <[log in to unmask]>
Subject: Book announcement: Rise of the Self-Replicators

We are pleased to announce the publication of the following book:

Tim Taylor and Alan Dorin

Is it possible to design robots and other machines that can reproduce
and evolve? And, if so, what are the implications: for the machines,
for ourselves, for our environment, and for the future of life on
Earth and elsewhere?

In this book the authors provide a chronological survey and
comprehensive archive of the early history of thought about machine
self-reproduction and evolution. They discuss contributions from
philosophy, science fiction, science and engineering, and uncover many
examples that have never been discussed in the Artificial Intelligence
and Artificial Life literature before now. In the final chapter they
provide a synthesis of the concepts discussed, offer their views on
the field’s future directions, and call for a broad community
discussion about the significant implications of intelligent evolving

The book will be of interest to general readers, and a valuable
resource for researchers, practitioners, and historians engaged with
ideas in artificial intelligence, artificial life, robotics, and
evolutionary computing.

Further Information
Further information and related materials can be found at

Note that a free author-formatted PDF of the entire text will be made
available on in late September.
Please keep an eye on the website or look out for announcements on
Twitter ( for more details!

Sender: Federico Divina <[log in to unmask]>
Subject: CfP Application of Evolutionary Computation track - SAC 2021

Application of Evolutionary Computation Track

36th ACM Symposium On Applied Computing
Gwangju, South Korea
March 22-March 26, 2021

For the past thirty-six years, the ACM Symposium on Applied Computing
has been a primary gathering forum for applied computer scientists,
computer engineers, software engineers, and application developers
from around the world. SAC 2021 is sponsored by the ACM Special
Interest Group on Applied Computing (SIGAPP) and Microsoft Research.

The Evolutionary Computation (EC) track welcomes original, unpublished
papers describing advances in and applications of evolutionary
computation and related techniques, including genetic algorithms,
evolution strategies, evolutionary programming, memetic algorithms,
genetic programming, ant colony optimization, co-evolutionary
algorithms, artificial immune systems, particle swarm optimization,
and classifier systems.

IMPORTANT DATES (all deadlines will be strictly enforced)
September 15, 2020: Paper Submission
November 10, 2020: Author Notification
November 25, 2020: Camera-ready copies

For additional information, visit the  general SAC 2021 web page:

Sender: "Grégoire DANOY" <[log in to unmask]>
Subject: CFP for International Workshop on the Synergy between
Parallel Computing, Optimization and Simulation (PaCOS 2020) part of

The 4th International Workshop on the Synergy between Parallel
Computing, Optimization and Simulation (PaCOS 2020)


As part of  The 18th International Conference on High Performance
Computing & Simulation (HPCS 2020)   or

December 10 – December 14, 2020
Barcelona, Spain (Online Event)

Submission Deadline: September 21, 2020

Submissions could be for full papers, short papers, poster papers, or posters

Plenty of hard optimization problems in a wide range of areas such as
health, manufacturing and production, logistics and supply chain
management, energy, engineering, etc. are increasingly large and
complex in terms of number of input parameters, decision variables,
objective functions and landscape complexity. These problems are often
tackled using optimization approaches including greedy algorithms,
exact methods (dynamic programming, Branch-and-X, constraint
programming, A∗, etc.) and metaheuristics (evolutionary algorithms,
particle swarm, ant or bee colonies, simulated annealing, Tabu search,
etc.). Solving efficiently and effectively large and complex problems
requires the joint use of these approaches and massively parallel
heterogeneous computing.

In addition, for many real-world problems (e.g. in engineering design)
the evaluation of the objective function(s) often consist(s) of the
execution of an expensive simulation as a black-box complex system.
This is for instance typically the case in aerodynamics where a
CFD-based simulation may require several hours. Optimization
algorithms, even if combined with parallel computing, fail to solve
these simulation-based optimization problems. A typical approach to
deal with the computational burden is to use (instead of exact values)
cheaper data-driven approximations of the objective function(s)
so-called surrogates or meta-models. A wide range of surrogates was
applied during the last decade including: classical regression models
such as polynomial regression or response surface methodology, support
vector machines, artificial neural networks (ANN), radial basis
functions, and kriging or Gaussian process. ANN is probably the most
prevalent of them with the recent “explosion” of the deep learning
popularized thanks to GPGPUs.

The PaCOS Workshop topics include the following:
The PaCOS workshop seeks to provide an opportunity for researchers to
present their original contributions on the joint use of advanced
single- or multi-objective optimization methods, simulation and/or its
data-driven approximation, and distributed and/or parallel
multi/many-core computing, and any related issues. The PaCOS topics
include (but are not limited to) the following:
    • Simulation-based optimization.
    • Parallel exact optimization/metaheuristics for solving complex
problems on multi-core processors, accelerators/co-processors (e.g.
GPU), clusters, grids/clouds, etc.
    • (Parallel) hybrid algorithms combining optimization and simulation.
    • (Parallel) surrogate-assisted optimization.
    • Implementation issues of methods combining optimization,
simulation and/or parallel computing.
    • Software frameworks for the design and implementation of
parallel and/or distributed simulation and/or surrogate-assisted
    • Simulation-based optimization applications including healthcare,
manufacturing, logistics, biological applications, advanced big data
analytics, engineering design, etc.
    • Computational/theoretical studies reporting results on solving
complex problems using the joint use of parallel computing,
optimization and simulation.

Paper Submissions: ---------------------------------------------
September 21, 2020
Acceptance Notification: --------------------------------------- October 6, 2020
Camera Ready Papers and Registration Due by: ------------- October 16, 2020
Conference Dates: ----------------------------------------------
December 10-14, 2020

Sender: Juan Romero <[log in to unmask]>
Subject: CFP: Special Issue JCR Q2 Entropy journal (IF:2.419).
"Artificial Intelligence and Complexity in Art, Music, Games and

Journal: Entropy (ISSN 1099-4300), section "Complexity".
JCR Journal with Impact factor: 2.419 (Q2).
Deadline for manuscript submissions: 30 September 2020.

Dear colleagues,

A major—potentially unachievable—challenge in computational arts is
constructing algorithms that assess properties such as novelty,
creativity and the aesthetic properties of artistic artefacts or
performances. Approaches to this have often been based on broadly
information-theoretic ideas. For example, ideas linking mathematical
notions of form and balance to beauty date back to ancient times. In
the twentieth century, attempts were made to produce aesthetic
measures based on ideas of a balance between order and complexity. In
more recent years, these have been formalised into ideas of aesthetic
engagement happening when work is at the “edge of chaos” between
excessive order and excessive disorder; formalising this using notions
such as the Gini coefficient and Shannon entropy; and links between
cognitive theories of the Bayesian brain and free energy minimisation
with aesthetic theories. These ideas have been used both for
understanding human behaviour and building creative systems.

The use of Artificial Intelligence and complex systems for the
development of artistic systems is an exciting and relevant area of
research. There is a growing interest in the application of these
techniques in fields, such as: visual art and music generation,
analysis, and interpretation; sound synthesis; architecture; video;
poetry; design; game content generation; and other creative tasks.

This Special Issue will focus on both the use of complexity ideas and
artificial intelligence methods to analyse and evaluate aesthetic
properties and to drive systems that generate aesthetically engaging
artefacts, including but not limited to: music, sound, images,
animations, designs, architectural plans, choreographies, poetry,
text, jokes, etc.

Dr. Juan Romero
Dr. Colin Johnson
Guest Editors

Sender: IRDTA <[log in to unmask]>
Subject: TPNC 2020: call for posters

The 9th International Conference on the Theory and Practice of Natural
Computing (TPNC 2020) invites researchers to submit poster
presentations. TPNC 2020 will be held in Taoyuan, Taiwan on December
7-9, 2020. See

Poster presentations are intended to enhance informal interactions
with conference participants, at the same time allowing for in-depth


Presentations displaying novel work in progress on computational
principles, models and techniques inspired by information processing
in nature are invited. Posters do not need to show final research
results. Work that might lead to new interesting developments is


Poster submission deadline: October 31, 2020

Notification of poster acceptance or rejection: November 7, 2020


Please upload a .pdf submission to:

It should contain the title, author(s) and affiliation, and should not
exceed 500 words.

Sender: João Nuno <[log in to unmask]>
Subject: 2nd CfP EvoStar 2021 - The Leading European Event on
Bio-Inspired Computation - Seville, Spain. 7-9 April 2021

2nd Call for papers for the EvoStar conference

Please distribute
(Apologies for cross-posting)

- EvoApps: Call for Special Sessions:
Information at:

Confirmed Special Sessions:
.Applications of Bio-inspired techniques on Social Networks
.Applications of Deep Bioinspired Algorithms
.Machine Learning and AI in Digital Healthcare and Personalized Medicine
.Evolutionary Machine Learning
.Parallel and Distributed Systems
.Soft Computing applied to Games

EvoStar comprises of four co-located conferences run each spring at
different locations throughout Europe. These events arose out of
workshops originally developed by EvoNet, the Network of Excellence in
Evolutionary Computing, established by the Information Societies
Technology Programme of the European Commission, and they represent a
continuity of research collaboration stretching back over 20 years.

EvoStar is organised by SPECIES, the Society for the Promotion of
Evolutionary Computation in Europe and its Surroundings. This
non-profit academic society is committed to promoting evolutionary
algorithmic thinking, with the inspiration of parallel algorithms
derived from natural processes. It provides a forum for information
and exchange.

The four conferences include:
- EuroGP 24th European Conference on Genetic Programming

- EvoApplications 24th European Conference on the Applications of
Evolutionary and bio-inspired Computation

- EvoCOP 21st European Conference on Evolutionary Computation in
Combinatorial Optimisation

- EvoMUSART 10th International Conference (and 15th European event) on
Evolutionary and Biologically Inspired Music, Sound, Art and Design

*** Important Dates, Venue and Publication ***

Submission Deadline: November 1, 2020
Conference: 7 to 9 April 2021.
Venue: Seville, Spain
All accepted papers will be printed in the proceedings published by
Springer Verlag in the Lecture Notes in Computer Science (LNCS)

Please, check the website for more information:

Sender: Eric Medvet <[log in to unmask]>
Subject: EuroGP 2021 - the 24th European Conference on Genetic
Programming - 2nd CfP

We would like to invite you to submit papers to EuroGP 2021:
which will be held on April 7-9, 2021 in Seville, Spain.

Please visit for more details.

*** Important dates ***
Submission Deadline: November 1, 2020
Conference: April 7-9, 2021

*** EuroGP ***
EuroGP is the premier annual conference on Genetic Programming (GP),
the oldest and the only meeting worldwide devoted specifically to this
branch of evolutionary computation. It is always a high-quality,
enjoyable, friendly event, attracting participants from all
continents, and offering excellent opportunities for networking,
informal contact, and exchange of ideas with fellow researchers. It
will feature a mixture of oral presentations and poster sessions and
invited keynote speakers.

EuroGP is featured in the conference ranking database CORE

Sender: Juan Romero <[log in to unmask]>
Subject: Call for Papers - EvoMUSART 2021 - 10th International
Conference on Artificial Intelligence in Music, Sound, Art and Design
(Seville, Spain, 7-9 April 2021)

Call for papers for the 10th International Conference on Artificial
Intelligence in Music, Sound, Art and Design (EvoMUSART)

The 10th International Conference on Artificial Intelligence in Music,
Sound, Art and Design (EvoMUSART) will be held in Seville, Spain, on
7–9 April 2021, as part of the evo* event.

The main goal of EvoMUSART is to bring together researchers who are
using Artificial Intelligence techniques (e.g. Artificial Neural
Network, Evolutionary Computation, Swarm, Cellular Automata, Alife)
for artistic tasks such as Visual Art, Music, Architecture, Video,
Digital Games, Poetry, or Design. The conference gives researchers in
the field the opportunity to promote, present and discuss ongoing work
in the area.

Accepted papers will be published by Springer Verlag in the Lecture
Notes in Computer Science series.


Submission deadline: 1 November 2020
Conference: 7-9 April 2021

More information on the submission process and the topics of EvoMUSART
can be found at:

Papers published in EvoMUSART can be found at:

Sender: Christine Zarges [chz8] <[log in to unmask]>
Subject: Second Call for Papers: EvoCOP 2021 - The 21st European
Conference on Evolutionary Computation in Combinatorial Optimisation

Second Call for Papers: EvoCOP 2021 - The 21st European Conference on
Evolutionary Computation in Combinatorial Optimisation

April 7 - 9, 2021
Seville, Spain

held as part of EvoStar (

Submission deadline: November 1, 2020


The 21st European Conference on Evolutionary Computation in Combinatorial
Optimisation is a multidisciplinary conference that brings together researchers
working on applications and theory of evolutionary computation methods and
other metaheuristics for solving difficult combinatorial optimisation problems
appearing in various industrial, economic, and scientific domains.

Successfully solved problems include, but are not limited to, multi-objective,
uncertain, dynamic and stochastic problems in the context of scheduling,
timetabling, network design, transportation and distribution, vehicle routing,
stringology, graphs, satisfiability, energy optimisation, cutting, packing,
planning and search-based software engineering.

Sender: Pietro Oliveto <[log in to unmask]>
Subject: [Call for Papers] 16th ACM/SIGEVO Workshop on Foundations of
Genetic Algorithms (FOGA 2021)

In 2021, the FOGA conference will be held from September 6 to
September 8 at Vorarlberg University of Applied Sciences in Dornbirn,

Call-For-Papers (link):

The FOGA conference series aims at advancing the understanding of the
working principles behind Evolutionary Algorithms and related
Randomized Search heuristics. It is a premier event to discuss
advances in the theoretical foundations of these algorithms,
corresponding tools and frameworks suitable to analyze them, and
different aspects of comparing algorithm performance.

Topics of interest include, but are not limited to:

Run time analysis
Mathematical tools suitable for the analysis of search heuristics
Fitness landscapes and problem difficulty
Configuration and selection of algorithms, heuristics, operators, and parameters
Stochastic and dynamic environments, noisy evaluations
Constrained optimization
Problem representation
Complexity theory for search heuristics
Multi-objective optimization
Connections between black-box optimization and machine learning

FOGA 2021 invites submissions covering the entire spectrum of work,
ranging from rigorously derived mathematical results to carefully
designed empirical studies.

All submissions will be subject to a thorough double-blind review with
subsequent rebuttal phase. Accepted papers will be included in the
FOGA proceedings published by ACM Press.

Important dates:
Submission deadline April 30, 2021
Author rebuttal phase June 1 - 7, 2021
Early-registration until July 14, 2021


 - Send submissions (articles) to [log in to unmask]
 DO NOT send submissions to the [log in to unmask] address.

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 End of Evolutionary Computation Digest

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