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EC-DIGEST-L  March 2021

EC-DIGEST-L March 2021

Subject:

EC-Digest v35n4

From:

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

Reply-To:

Evolutionary Computation Digest <[log in to unmask]>

Date:

Sun, 14 Mar 2021 09:33:14 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (510 lines)

Evolutionary Computation Digest — Sunday, 14 March 2021, Volume
35: Issue 4

SUBMISSION ADDRESS: [log in to unmask]
NEW LIST ARCHIVE: http://listserv.gmu.edu/cgi-bin/wa?A0=EC-DIGEST-L

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

********************************************************************************
Today's Topics:

Announcements:
----
- 18 March (Extended): Full UK PhD scholarships (open to UK/EU
candidates) in OR/ evolutionary computation/optimisation/ IoT/machine
learning/data analytics/ simulation/computational
intelligence/transportation/logistics

- 26 March: Fully-funded PhD Studentship (£20,000/year) on school
transport optimization at University of Manchester

- PhD position in optimization-AI at IRIMAS, France

- Book announcements: "Modeling and Optimization in Green Logistics,"
and "Green Transportation and New Advances in Vehicle Routing
Problems"

- Book announcements: "Operations Research and Simulation in
Healthcare" and "AI and Data Mining in Healthcare"


 CFPs (with submission deadline)
 ----
 - 12 April: GECCO Workshops
 - 19 June: Game Benchmark Competition @ GECCO 2021


********************************************************************************
CALENDAR OF EC-RELATED ACTIVITIES:

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

July 10–14, 2021, Lille, France: GECCO 2021


********************************************************************************
Sender: "Nguyen, Trung Thanh" <[log in to unmask]>
Subject: Deadline extended 18th Mar: Full UK PhD scholarships (open to
UK/EU candidates) in OR/ evolutionary computation/optimisation/
IoT/machine learning/data analytics/ simulation/computational
intelligence/transportation/logistics

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).

Only UK and EU candidates are eligible due to funding conditions.

- Deadline 18th Mar 2021
- provide full tuition fees and living expenses for three years,
- students have to relocate to Liverpool and enrol by end of April 2021

Regarding research topic, priorities are given to two industry
co-funded projects:

1. Portfolio optimisation for energy supply chain: Candidates for this
project should have excellent programming skills in C++ or a similar
object-oriented programming language, and strong expertise in
optimisation using meta-heuristic/heuristic algorithms.

2. Data analytics and machine learning for transportation, utilising
data from real-time sensors: Candidates for this project should have
strong programming skills in Python or a similar programming language,
web development experience, and knowledge in data analytics. Good
experience in machine learning, optimisation, and back-end development
would be strongly preferred.

Besides the two industry co-funded projects above, any area in
OR/optimisation/simulation/data analytics/computational
intelligence/IoT/ transportation/logistics would be considered. Please
have a look at this link for some example of our current/past projects
on air quality and green transportation https://secure-web.cisco.com/1DAIuYQaJsoRnoiYtOdi4PhMjUyzhqsRbib0DjTyosv_rWGr_O-MbyK4q3AKKf3vzRsn9nnHru_F7-nbsy64RQEgUG66Gskn4HX2r1DPcjfWPg_Oqv0R0xZy7NuDDXFSiMlVmuJQe1VSyktvDNPWLyR777CU2fz7e2CC1npsBqVyBMUp9QT8uotpD_72qLynVsc5nDtAIMV6GY3dsXtKRgQA1OgWIJ59pm9ITDLdnVQSG9VG7CsKTOByekNSeyaBaOaqcw5rtQBoKjl4xqUtXKTM4bmXxJJPEubjf81Drql5qp2zNwCWXwhHEDIuc3D1qQTEZA66e_wQ0bC7zG507cQOuKI-gQqhNGWbN9fctf6FYpoJN-d-ae3ibzaoUh5XuES-1N9ovuBd_wfzZxH6K9LLNkoc2pmCywFaUqspNssgGsS2TuyWsV9fed8WTKF6N/https%3A%2F%2Ftinyurl.com%2Fy67eddrw .
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
Liverpool).
- 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 Prof. 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.

Could you please forward this to any interested candidates?

Thank you very much
Best regards
Thanh

================================
Prof. Trung Thanh Nguyen,
Professor of Operational Research in Transportation
Co-director of the Liverpool Logistics Offshore and Marine Research
Institute (LOOM),
School of Engineering
Liverpool John Moores University
Tel: +44 151 231 2006
Web: https://secure-web.cisco.com/1ZME5KJ1aw9rE09MvUkRGtWK-CCl2xm13XvobVKXe5pg-1gwibRsfLzaPACbblHtHJkL__VAs4ha4Quleqvz_O3Xb4e9k9bztzaGd_wUO-Gi_dZOiH-8AgldjfKl4WIgsUFYmziBjQW6agf8Mnqvry6bu0QnQd8zUJvNuFDcqN6nW4afj7ki9H2lhyOeR4AA8-DAsWu5MaHOCdlTx36OcWSPSilMBF_z51Bj9xqoDjdZazi992V4ived51V3zBqqUX3P0G88gSwa2f4JRXJdQBvWCvKHcJR2VVitJ_wXMhmFb8PfcN7zKntDSH33oXyadPWVWA_zGPokn68KjtIyCj7Dceyastf0a_fqr6taIW4Nl_niY11Tv7Wd7xMg0g89SOegGSvEUNAv8JcoC2STEu0n-8uUBer3PHhTS6l59wPa68HrIh8Gakc9pOJvN9wyt/https%3A%2F%2Fwww.ljmu.ac.uk%2Fabout-us%2Fstaff-profiles%2Ffaculty-of-engineering-and-technology%2Fdepartment-of-maritime-and-mechanical-engineering%2Ftrung-thanh-nguyen


********************************************************************************
Sender: "Manuel López-Ibáñez" <[log in to unmask]>
Subject: Fully-funded PhD Studentship (£20,000/year) on school
transport optimization at University of Manchester

ESRC CASE PhD Studentship: Challenges in Home to School Transport -
Large-Scale School Bus Routing inclusive of Special Needs Students and
Heterogeneous Fleets in the North West

We are looking for: Exceptional UK/EU/International candidates with an
outstanding academic background in the fields of Business Analytics,
Data Science, Operations Research, Artificial Intelligence, Computer
Science or Advanced Statistics

You will be working with:

Prof. Julia Handl (Alliance Manchester Business School, University of
Manchester, UK),

Dr. Manuel Lopez-Ibanez (School of Computer Science, University of
Málaga, Spain and Alliance Manchester Business School, University of
Manchester, UK)
and our industrial partner 365 Response led by Dr Chris Jones (Leeds, UK).

------------------------------------------------
Application Deadline: 26 March 2021
-------------------------------------------------

Project theme:
-------------------

Planning the routes of school buses to transport children from/to
school is a widely studied problem in the operations research
literature (Park & Kim, 2010) with hundreds of papers written about
it. Transporting children is an understandably sensitive topic and the
planning of school bus routing has implications for school policies
such as school budget and bell-times (Bertsimas et al., 2019) and the
inclusivity of special-needs students (Caceres et al., 2019). Another
reason for this vast literature is the broad range of possible
variants of the problem.

The aim of this project is to improve the school bus system in
England, in particular with regards to delivering a satisfactory
service to special-needs children, while aiding the decision-making by
school districts. The objectives are:

1. Identify the criteria and constraints that are relevant to the
different stakeholders (parents, school district, etc) and other
features that are characteristic of England’s school bus system.

2. Create quantitative decision-making and optimisation models that
build upon the broad literature on school bus routing and, possibly,
extend it.

3. Explore the wide range of solution methods available and identify
the ones that may be appropriate to the characteristics identified
above

4. Develop new solution methods that are able to address the
challenges not addressed by the existing solution methods.

5. Develop an intelligent decision-aid system able to adapt the
solution methodology to the characteristics of particular school
districts and the school policy in effect.

6. Provide clear evidence that the developed decision-aid system helps
decision-makers to produce better plans for school buses.

Bertsimas, D., Delarue, A., & Martin, S. (2019). Optimizing schools’
start time and bus routes. Proceedings of the National Academy of
Sciences, 116(13), 5943–5948. doi: 10.1073/pnas.1811462116
Caceres, H., Batta, R., & He, Q. (2019). Special need students school
bus routing: Consideration for mixed load and heterogeneous fleet.
Socio-Economic Planning Sciences, 65, 10–19.
doi:10.1016/j.seps.2018.02.008
Park, J., & Kim, B.-I. (2010). The school bus routing problem: A
review. European Journal of Operational Research, 202(2), 311–319.
doi:10.1016/j.ejor.2009.05.017

Nature of the Studentship:
----------------------------------

The studentship will commence in September 2021 and will be available
for three years, with a stipend equivalent to UKRI rates (£15,609
tax-free for 2021/22, in addition to a £3,000 AQM enhancement per
year), plus an additional allowance of £2000 from 365Response.

Entry Requirements:
----------------------------

Applications for this project are sought from exceptional
UK/EU/International candidates with an outstanding academic background
in the fields of Business Analytics, Data Science, Operations
Research, Artificial Intelligence, Computer Science or Advanced
Statistics. You must demonstrate that you are highly motivated,
intellectually astute, with high-level analytical competencies and
development skills.

Applicants must have a First or Upper Second Class Honours degree (or
equivalent) and hold or expect to obtain a Masters level qualification
with Distinction. English Language requirements (where required) are
IELTS 7.0, TOEFL 623 (100 ibt), PTE 66.

Application:
---------------

Candidates should submit a PhD application for the PhD Business &
Management by 26 March 2021, and indicate that they wish to be
considered for the ESRC CASE PhD Studentship “Challenges in Home to
School Transport: Large-Scale School Bus Routing inclusive of Special
Needs Students and Heterogeneous Fleets in the North West”.

The application must contain the following:

A 3000-word research proposal related to the topic, and
A written statement clearly indicating how your research competencies
and interests to date are aligned with the specific nature of the PhD
project.

You are strongly advised to submit your application as early as
possible. If you do not submit the required supporting documents
outlined above by the deadline, your application will not be
considered.

Enquiries:
-------------

If you have questions about this project, please contact Prof. Julia
Handl ([log in to unmask]) or Dr. Manuel López-Ibáñez
([log in to unmask]) with an up-to-date CV including
any publication profile.

For questions related to your application, contact Lynne
Barlow-Cheetham at [log in to unmask]


********************************************************************************
Sender: Julien Lepagnot <[log in to unmask]>
Subject: PhD position in optimization-AI at IRIMAS, France

Dear colleagues,

Please find, below, a link to an offer of a PhD thesis position on
hybrid metaheuristics and learning methods to be filled as soon as
possible:

http://secure-web.cisco.com/1rKl_ukOTcbdYSbGWnPpiBFbFneyjIjmGnZI-gVFId8buC2sVjyhQ_fSnYHa4fkNWFqwZ9nUy_hmRp7GJ6eYoYHSCcETGBdnmKUhrUiGRPzBCUlT268pAGGbgabeGguRUdeCNqGNXMw7KvK-y39afy3B4e0HVUeRUVfMnwcbJjj2-xeqCS0obmS046l8roAV5M_MUC9q1YR7X07ZX4asibnXPtkKus9TiH2lfLbLUFotcGOqyU4l_iyD4fe38gTlXxLlrYphd-z7yzXtVjDz6VFRHk_qWoVFiEjVTTVopE5rmSGIBnMRv7SuJabbg1LXJDDGJAJ_8Z0zoVPNk1L4JkUTGLYASQuck2N_59XnoM2vU1T5cnxxSb57NUpBrvhHnEuOuQ1RQZAduBWD-qOfNURnNVp3DHHfGpVx-ESH0zGWvP0mXX77wTpDCK3kQOohv/http%3A%2F%2Fwww.lmia.uha.fr%2FPhD_EN.pdf

Feel free to forward this offer.

With best regards,

Julien LEPAGNOT
Associate professor in computer science
Université de Haute-Alsace - Institut IRIMAS (EA 7499)
12 rue des Frères Lumière, 68093 Mulhouse
Tel : +33 3 89 33 60 28


********************************************************************************
Sender: Patrick Siarry <[log in to unmask]>
Subject: New books announcement by H. Derbel, B. Jarboui and P. Siarry
(Eds.) SPRINGER

Modeling and Optimization in Green Logistics

Houda Derbel, Bassem Jarboui and Patrick Siarry (Eds)
Springer

ISBN 978-3-030-45308-4. December 2020.
158 pp. Hardcover.

https://secure-web.cisco.com/10-1ANTVO-QJvWFXq_oaFFQtkeQCVB3B3_pV_JbLs2XwFViYXBnwQdH7PT7vztCn5mmiNpk2aMZaflkG1iiahVObgQQ3-d6xPwPWYg_LsgoS-WOazC-ojBVuOQq6P_KbQnczUWK_pTaN1vy_w3vHDmGhWh-uAqViN3UqT4FRoK7mDZ4PlI2Se3l4WYNxrWmAUHsBiqEr2cSx8IiibTxt-iKYFGFSVw7n_gZYEwBZa6kcemTghiUkesB3Skd_HKaZnoqfguQksfK9LUSn0zJJOr-_fL9BicjPQDXqnXMwseT9uEwBE7EL0wCj105zO5yhzTwOz7gUPC7TzHwv7LI5rgmhprw2-T4nqd7aEBDYQ-6rB4OlXBl2-_UuONTl6vrBWAdtKqQt0KiSFm-bJS6eTYd3C2q0mjAudiWrVKgo_hJA3O8jJZYA-_BaZQFUHvEV0-KLLDivmEhxFIWPukol7d8ebHig7JGE504ncP6Mw7Xw/https%3A%2F%2Fwww.springer.com%2Fgp%2Fbook%2F9783030453077

This book presents recent work that analyzes general issues of green
logistics and smart cities. The contributed chapters consider
operating models with important ecological, economic, and social
objectives. The content will be valuable for researchers and
postgraduate students in computer science, information technology,
industrial engineering, and applied mathematics.

+++++++++++++++++++++++

Green Transportation and New Advances in Vehicle Routing Problems
Houda Derbel, Bassem Jarboui and Patrick Siarry (Eds)
Springer

ISBN 978-3-030-45312-1. December 2020.
232 pp. Hardcover.

https://secure-web.cisco.com/1XtxrhEs8sAASDvbIYt6-sZNCulrsz-inR--51zW9YXVOSGeN0OM_sjaoJB6kUfKaCt8cuEuiBHxPmTOtockC-_QlvUw7c3vMaC9jYobsZ3txXGOpqlcXS7UCIFdqpVVxeKdP_-ftqpeOKgdxaZlNEqKJKP2d0ULK0h8gHDsRTBoIYIOObFgY2w26DyDAQ2_BSc4eqTFdPljESTc3IEFug0SgXi-CegY-_UG1U7WGk80QTkVXyFOSvpPJPvf9yHwAI-oHYtvevbNkUZ_TAJhj4llvgp3cfLFhmhLmJvkDpWcqQpQNzQLEM7JU06J02o-tA0h-OufOgA0_J8bNsh9Un8qnAw35wZ6aBwRFh7lc3jvwDIdLuu8mmi-T-k_yNFhc1v08Tj_ZLzgrU97EXadEyGO09CejYYVnoTQy_gJELa5SM0G2tZ0OulFj4JPh3opU/https%3A%2F%2Fwww.springer.com%2Fgp%2Fbook%2F9783030453114

This book presents recent work that analyzes general issues of green
transportation. The contributed chapters consider environmental
objectives in transportation, including topics such as battery swap
stations for electric vehicles, efficient home healthcare routing,
waste collection, and various vehicle routing problems. The content
will be valuable for researchers and postgraduate students in computer
science, operations research, and urban planning.


********************************************************************************
Sender: Patrick Siarry <[log in to unmask]>
Subject: New books announcement by M. Masmoudi, B. Jarboui and P.
Siarry (Eds.) SPRINGER

Artificial Intelligence and Data Mining in Healthcare

Malek Masmoudi, Bassem Jarboui and Patrick Siarry (Eds)
Springer

ISBN 978-3-030-45239-1. February 2021.
206 pp. Hardcover.

https://secure-web.cisco.com/1fabSFHKJDcsDiTLvOn3V0ivpos8UYq5u_62D20KQ8YqdLNhOiB4XZjjhfVZkrInlgLbIkFaLyVXp1qDXVtHqcdB88B5gUS21sV2XS8MsSNyKcnwnPhzVamUBgOHuOX6E8abdkq_YwjCLGBkTUI5JAUOMwwNtQV-_fVswxzZZo7d32RNaVKHbATp-xmHgRP8z6qc3_qVy0L-BSFQHiYNH4vf2dfXNslDwvCt3Og3ZFxjyg5SYHMEhzUgtUVNBqExxG-45viWrJJskaeZjgcPyMIZfIbN3hhtpx77fRkulTQSNx54ABo7kgVisyY9FIJmGF2bJttK0jSBfA0ofTYEBcVWk-saaicStAFEB3-pcUUYY-W-PKY01D6YEMkKFq5KPLhHNsWTYXAEQVB0Z3Mt-6N49rCr2GkYVkUBtFfYa6kNpNPDMQdTOZvQhKvFZzLfS/https%3A%2F%2Fwww.springer.com%2Fgp%2Fbook%2F9783030452391

This book presents recent work on healthcare management and
engineering using artificial intelligence and data mining techniques.
Specific topics covered in the contributed chapters include predictive
mining, decision support, capacity management, patient flow
optimization, image compression, data clustering, and feature
selection. The content will be valuable for researchers and
postgraduate students in computer science, information technology,
industrial engineering, and applied mathematics.

++++++++++++++++++

Operations Research and Simulation in Healthcare

Malek Masmoudi, Bassem Jarboui and Patrick Siarry (Eds)
Springer

ISBN 978-3-030-45222-3. February 2021.
238 pp. Hardcover.

https://secure-web.cisco.com/13fQ-UdbtlKSdZRNYBnJSqT2NjhOFoEQO9gcufeBXu5j0jMrDOu4RcV5C-eof578Z2qEa5KYPEWWFLkufU2g7_150R2p_T9jCAmAPyVwEBXnCBNia_L3SlirM1kaK7pBshYA_p0_Mr61j3RI8G06pXjPXf958DmjXS2lRUXjZnLTNIdGaU5N1CvIW0YswaocQmRK1T6s3av9wtoHx6gwx0UCZ5fVuaxnSsQ2S-9dNM--EF9IjyQCbuyKx0uRGJ8AXsFyikdKcUC58CA7RKt3jQliaqwl-MIQ66a2Yt6kT3QJgJ3aa0_WWuP0QXxzf01r9pcTfPnYW_Tyhm0QZp_bKJmm1Dfver67WkU2LgWWgIdQ3EwNIZqqkA1PmOk0s8eIR5FxTO6z5cHlMaCKbULpVVMyuVv05aD-_bOBdd6yCkver3off7nK-AhtYjNqrNkBcvdqTKlxgNnz8-TQnylPcs72Wsolqk2YDmK0qFFfUHIc/https%3A%2F%2Fwww.springer.com%2Fgp%2Fbook%2F9783030452223

 This book presents work on healthcare management and engineering
using optimization and simulation methods and techniques. Specific
topics covered in the contributed chapters include discrete-event
simulation, patient admission scheduling, simulation-based emergency
department control systems, patient transportation, cost function
networks, hospital bed management, and operating theater scheduling.
The content will be valuable for researchers and postgraduate students
in computer science, information technology, industrial engineering,
and applied mathematics.


********************************************************************************
Sender: EC-Digest Editor
Subject: GECCO Workshops

This month the EC-Digest received CFPs for the following GECCO
workshops. Please see the individual workshops websites for more
info, and find the full list of GECCO 2021 workshops at
https://secure-web.cisco.com/1AeShaQSdH1QCohTnlNmppMbB6m7keCesUHxUSSq6CNPMkN4uv4nNV0UeAGf1kgJNt1MDrkYYvGUvFghaz4KHY97Zdk0_sMXkzfhR_D8ITe1jpzcK6CUqLRSEYGsyQdSyNdRj3FMLaktG__MDkGkVXWZdr0ZCw5tJ53irugeC6y2lh0Lw0InKHT_OxzihiDt0TxD6fVO7dKvWCTzG3GbCv3yqNx_UnOdye1BlXccwCa3djW3oZQdw-PsyAKs6gqV4mO6Wq1MIMqRMnRVd-hmTPzx26nqXbBVVy2L1TbdGtZObXAnu83VHURHm-bPO5nabqZ2JifORsb4A1dT1Hg53UISKu_gY_tt-gmkm_VVIG_Ike6MnmH9GOV8QJFE3yopJ01-ltQPzxL2QG_ymfir7bvqzAb8QLXpcVHwpTKwf_DPdw7nqPTRtEGjL5Utse6e-GvMvR7XSaRUxWPrHkhpZWg/https%3A%2F%2Fgecco-2021.sigevo.org%2FWorkshops

All GECCO workshops share the following important dates:

IMPORTANT DATES
- Submission opening: February 11, 2021
- Submission deadline: April 12, 2021
- Notification of acceptance: April 26, 2021
- Camera-Ready Material: May 3, 2021
- Author registration deadline: May 3, 2021

Workshop on Real-world Applications of Continuous and Mixed-integer Optimization
Sender: Pramudita <[log in to unmask]>
URL: http://secure-web.cisco.com/1ZmiNYMQlaa4I881xiSSx_ztClwSD9Ee96bSRnsd7SXRrDc_wZdbfoc7JvrWMon_z8YdyqavF5wJf9k7O13hsDXdyKO9O1S3qcWp6jShVE2PCu99VG2WXQUMdL91CkRAtkv_iFTdoqz_HjEo2lvJK7dxjURaRA2C5T5Oh4HEBFj0W6D6zjQta_2RjfP80YXLlUcorGjePIQbzQC8TwqFkaoQsOxxnN7xHcWBmBwCZ_K-CtM-xMEy0U60xNcGBEtPptVUxcKZZ5yUd-y2l3NwFLiUqt_P4uPvSGJxLcdjaaMo9sk7U2Ogy9IBZBkfgAQenWWFb-5OJP0cfBmk2tKg0ruA7n6mB3dFV1p1kPEr44jxKe2WotEJ2TcB80y9tZn7eZOfOBFsRlu-jmNL1PsljkOY5-qcH5z-hjd6Z64Vmgajp2idxctT5-VpyS62cgGdcaHI68qifdxnWFMypGHohvQ/http%3A%2F%2Fwww.ifs.tohoku.ac.jp%2Fshimoyama%2Fgecco-rwacmo%2F2021

Workshop on Evolutionary Computation Software Systems (EvoSoft)
Sender: Wagner Stefan <[log in to unmask]>
URL: https://secure-web.cisco.com/1Tc4cWoCbSjAFC66lj3pFBGwGsykO9evyeKpbk1QFDbuy5OZ_QU2Wb05qHPjAzjvnSuxzRA0ijs8-9oZcZXhqMynk1pytWmjxpH7Jb4H6bMg92-meVxZ1J5D-0_lAzbBkASJzQDdxTp667MdQqN2hj948orXVKTpb133PK-3QX2MYD_avhmz_eCZuL4PJwLzb0wucwVs__Uyljy6K2M-7QT5hstPQ9vBoPkJkXMXtuazF2qwOvuYPVGzo2mAn7DskQ3rIz7oqCKtV_0R0KadpeVtSzP2mQvw8TEWTAyGMhnc5iUET5kshYxMzKNkdm_cN3--q0HJwgTh0Dnm8vrPdzMqWQ4ebLv7rWweg-jEtzZA8Ewv-q-_1GY-0adWgIuEZOEFmam6PLz3LitjGoSTy7pdgoGx30H1TTbTEzPUt64wsEHaSM2fsbeu6ZFdpMVpoCiQCe-57rKvrBrqLai8HWw/https%3A%2F%2Fdev.heuristiclab.com%2Ftrac.fcgi%2Fwiki%2FEvoSoft

Workshop on Evolutionary Computation for the Automated Design of
Algorithms (ECADA)
Sender: Daniel Tauritz <[log in to unmask]> and Manuel López-Ibáñez
<[log in to unmask]>
URL: https://secure-web.cisco.com/13T4esWGOunxmzl8erMjBYQRSe-dB8n1AcHJQFLRatqkgPJQvSA7qjvkchiJltrRqx2UXbxYw3wvuDi64HCSfNg8-HoJLbWHj8vPRLikbufw6gX31fyu9zTagEEXZby7YQRLmzWThmVMd65zpwx13NMbqUrj17JCRWLDupUudttsj3Cgu_INwnLNxlKU3GW-wEwnZ3WvRwtwg-AkWIQ14jGcQ9ksfJE7CC5kjbuFBQCOBBFfNelbbKheXTFo7e6u1pp513UorWPhDVDe9ZWDv1UrJgFp_-Znlq025GkNQZnHCPh0B7qLShY0O6_MbrUzPInt6HhRtPDhd9uESvVRwX4SmkSoLY40ZIF5OIybZ8bwDomPWAcevOWqal9nCqEi9pvE0MD0AbV-DRORjoJtYPNnhKKrndbDP5vJMCuScIBUNF4zfpwQkEXO0pXEoYI2lvqU6B4LsZYQIcFgF2fB5gg/https%3A%2F%2Fbonsai.auburn.edu%2Fecada%2FGECCO2021%2F

Workshop on Neuroevolution at Work
Sender: Antonio Della Cioppa <[log in to unmask]>
URL: https://secure-web.cisco.com/18_mYSuXf2Ut_GQHrS9V6OyzPzEbFofTu0gc9EeO3TklgvYDopVaxg5A2oPRUiJIyetDDEEGL8NNU2mXBzgify79i9QsrIlmTDuiZXqpB1piiEmqOcYK068S5KZi7oddrNN8NCL59qxw6NPs3pKtB3Aal99IUDrlYwBEiAAVvYWs_-1w3eoIFNGXfWMDau3511UcQ8dq4LPJrYMCXvSwukAloC1CyQIbx8sZvpGutIn9Z00g5YZnqBS-OU8o2aNnSvbpzeySwdsKuvu_EMkxKhX26lNcUfb1qOz8AB12C8yTdfcjRdbzAhgNNFdfmSfyF6aR4a8Yr_d6hVtzfox-rwLYzlVZBvbJTCiFYOWJhDurgFz4IMcuCsEDALjuAA0CJVUcgzDRrlt4FKYQ4acXfZax0BGW2b9a5XCX9tOCp6db9_AvMm-XYY1N0IJvOV-3bMdezH5yl4vmigRmwD-vg5w/https%3A%2F%2Fwww.newk2021.icar.cnr.it%2F

Workshop on Parallel and Distributed Evolutionary Inspired Methods
Sender: Antonio Della Cioppa <[log in to unmask]>
URL: https://secure-web.cisco.com/1RkN7byF80SSNwaedhgiq9dZBn_u8IihdXJkBhua-CiN_8V-3XV0MELsV-OiZkSU0xMVOm9kTu2HgoSBzGI5TZUy8qPTUdv6ZUYaLJbxuNR-ofbo3SA4XDmDipRJgZrhdvMMIhF2K5tpBazt_6GfIjBRPo8aoQniki1GWnIwpZ-LZFCL8644yLtQK51gOaFbOmPd2Iu86LNfZTjew79dzIyK56I-3VW8bdypVWMKpLCrpEr8nNsyt3Dk0bZL9RDT2Pqk_ZjoZEhWE7OVM52TM0iWuB1RfWHsfl8xDv5GQc7g-HxJJz4aJK-D_e_Deg2Db7T6frPtrAekWYD2j1QZMiF7VucDm9XzcyKl6fWKrcDy61156vafEtsDeNDppiebDvzlwyDeUZ2h-NaSU77vVZwobA6ShfPn92gygoSek_GmIuTfu-30eEKvfhEW1gGUTD8VxGNQ9jEpMBZTOhXASLg/https%3A%2F%2Fwww.pdeim2021.icar.cnr.it%2F

Workshop on Black-Box Optimizatino Benchmarking
Sender: "Tea Tušar" <[log in to unmask]>
URL: http://secure-web.cisco.com/1r4NbUk8AxPrrE1FmpU-NYunBeVynyV7qhIrfbOkARlK9zot8hyOfRBblRFm9ptKaYFXCUMvzXzUOlM59j8a_8yGPNI9RC96KWwoMX7Gq3Jm6CapkQDGFAVYeBHbfEw-qbHp72d4RosHwve5TURWTggRznf_EexxjGur3cVJIbqow3TkwDycw68ItBYaSx7sbrCm30CxFRLxY0o8DTy1ye9dwnY5jf3CgaX53Il87tqFkWRc41evg_MxWUJouNuJpHPcfjX23szVWRKa_WXnYuM5NG1yVKZC5g2_zEuNTBYqJ43uqBsfd2VVK93CTlmo8rF8obYytIOTdgYP34l7lfR3hQ62LqPx5-SgFyK4v4lopkupBFDRn_q4xQCN5YET4bRKTuSQfqw-40WjEX1Or3RVqLKh9fLbowfBygDBjL-1LmpwM17jKwm008itwI3tvhHNMXU3dgniXJfEC3MPuf-VMPKJHNryLv-DJDwh3sCc/http%3A%2F%2Fnumbbo.github.io%2Fworkshops%2FBBOB-2021%2F


********************************************************************************
Sender: "Tea Tušar" <[log in to unmask]>
Subject: Game Benchmark Competition @ GECCO 2021

Game Benchmark Competition @ GECCO 2021

Participate in our competition, it’s a WIN-WIN situation

Why?

• Participants match up with other researchers who think they have the
best optimisation algorithm available
• Organisers collect data from test suites to further improve the
benchmark and push real-world benchmarking a step forward

And there are more reasons: Games are a very interesting topic that
motivates a lot of research and have repeatedly been suggested as
testbeds for AI algorithms. Key features of games are
controllability, safety and repeatability. Moreover, they also feature
the ability to simulate properties of real-world problems such as
measurement noise, uncertainty and the existence of multiple
objectives.

A popular topic within the area are game optimisation problems, where
the task is to find solutions representing game content that optimise
a given objective function. That’s why we compiled the Game Benchmark
for Evolutionary Algorithms (GBEA) from problems like these, which
provides you with the chance to try your algorithm in a
real-world-like scenario.

PLUS: You can publish your work in the GECCO Companion, either as a
competition paper or as a BBOB workshop paper (deadline April 12,
2021).

What?

What is the competition about?
• Single and bi-objective suites from two interesting games
• Continuous and integer search spaces, type depending on game
=> 2 x 2 = 4 combinations (tracks) all together
You are of course free to choose one or multiple tracks that interest you most!

What exactly is a contribution? What do you need to submit?

• COCO Logs
Yep, we use COCO (https://secure-web.cisco.com/1kQCCD_RdsHf-0RX7IKRblXIWZiMu1ID6U4ClptnBF7xQXIuwk9x_uCoMkt9pqtTWzclUkVLyRxeOrk3RvIkevIinO8AR9VyoWSIqjuy902jcWaWCphvdUis6Z2d33CMLv9kYxcrGS5EVqbPJOj-q7YVt-sCWHMt01F7AylHYzI9jnqrdyTXlkINoc6X9f5eS3cRin9SX1G3RM96n9nO_UwvyjMzhDDDcY4C3B0J2eNIx6WdlwuTE7aQwmSYl91NZ8qeTqbEvxAYDfl2Q-TLJ9h4wzfCaRqz0mKgfLLiTxkYUMYXujQM2L4D6v4mDRbiAwKvCze1PalMRjr4hBtfXbzbOzrarEy82OyKeiYfWgxas4IujZeCmdmlNMP_0tnF8RWFh-LSLrHvwOQ2-nftGYmYkOfmcUYBG8rB8W4N27sxAsmiv9fm7rIW7CYT7G_-1/https%3A%2F%2Fgithub.com%2Fttusar%2Fcoco-gbea) to compare results.
GBEA is integrated in COCO as four stand-alone problem suites.
This allows for an easy comparison of algorithms.

• Access to the code
We would like access (link to a repository, the code sent, or at least
a description of it) to reproduce or at least retrace the results to
determine the winner.

How?

It’s easy, just follow the instructions provided at
http://secure-web.cisco.com/1c161R0vbtgvu1ADbk2-JqAdLGsKjvlhTFXV7M8Ab4TDksQrSdCK1UwkGekkYLvQqJmRp4hOFzzm94LBC2VLLjBbwArssfFqTIqKSVg312ROIUVusbvfMM1bV5CkrRciRymsQm0R7z2JaO8P93YIHhoL2YD1ccD2_5ToBNria26E6GLp5U5UcqcW7iTXp_EB6uqymaqXDdb29MlIXLvnvFL0Pd_jvQrC2rofC_PRITYnzY2gq3RkZHOzY7PC5bYESLZM60p-06wrTVvG8Lgi4Tl6rb6M5iK5oOOc14WZ6r3u-Dq--3zRQk4hIUxEsfPYpqSwg7_WZ5JVw7wtOTvY3uSTuEuQGgHxxkAgFCUVjufCgDD_-UWwYlhvwvba0QDMrCYVB4n9OjoDZMBwNZmWqgWv6ZWnW9oOvg8JdQopJVSLrd-pjODfogVQfpkQlsfA2Ke5NFVMcLZQAjd4VtBrGgg/http%3A%2F%2Fwww.gm.fh-koeln.de%2F%7Enaujoks%2Fgbea%2Fgamesbench_gecco21comp.html

When?

Submission deadline: 19. June 2021
Winner announcement: 10. July 2021


********************************************************************************
(UN)SUBSCRIPTION INSTRUCTIONS:

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

 - To subscribe send email to [log in to unmask] containing the
 following text in the body of the message:

   subscribe ec-digest-l <Your Name (up to 4 words)>

 - To unsubscribe send email to [log in to unmask] containing the
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********************************************************************************
 End of Evolutionary Computation Digest
********************************************************************************

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