Evolutionary Computation Digest — Thursday, 06 Mary 2021, Volume 35: Issue 5 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: ---- - Request for examples of Successful EA Applications and Achievements - 20 May: Postdoc opening: "Time-Complexity Analysis of co-Evolutionary Algorithms" CFPs (with submission deadline) ---- - 23 May (Extended): Foundations of Genetic Algorithms XVI - 30 May: International Conference on Metaheuristics and Nature Inspired Computing (META'2021) - 10 May: International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICN FSKD) - June 27 for entries: GECCO Competition on Dynamic Stacking Optimization in Uncertain Environments - 30 June: Applied Sciences special issue on "Application of Evolutionary Computation" - 31 December: Theoretical Computer Science, Track C special issue on Theory of Natural Computing ******************************************************************************** CALENDAR OF EC-RELATED ACTIVITIES: July 10–14, 2021, Lille, France (ONLINE-ONLY): GECCO 2021 Sep 06–08, 2021, Dornbirn, Austria (ONLINE-ONLY): FOGA 2021 ******************************************************************************** Sender: Kalyanmoy Deb [log in to unmask] Subject: Successful EC Applications and Achievements Hello All, Wish all of you are staying safe from the recent rise of the pandemic. I really hope this would really be the last year of working from home and we can all meet in an international conference soon. That would be a great celebration for all of us! I have been requested by Dr. Owen D. Jones, Professor of Law and Biological Sciences, Director of MacArthur Foundation Research Network on Law and Neuroscience and Professor at Vanderbilt University to compile a list of significant work highlighting "What do we consider to be the most engaging example, for a lay audience, of the success of Evolutionary Computation?" for his upcoming book (under contract with WW Norton publishing) that will highlight for a broad audience some of the many ways, across many domains, that understanding natural selection can improve human lives, knowledge, and achievements. I thought he may be looking for significant EC applications in all aspects of practice, society and science. Algorithmic breakthroughs can be listed, provided they were critical in any significant applications vis-a-vis non-EC methods. We have a come a long way since the first ICGA conference in 1985 (35 years ago), although many EC pioneers started their EC research much earlier. It is probably a good time for us as a community to come up with such a document highlighting significant successful EC applications and achievements for the scientific community at large. Please send me a link (or document) of your and any other work that you know, so I can compile a list and send him. He promised an acknowledgement of such works in his book. Depending on the volume of response, we can then collectively prepare a more detailed document highlighting our significant achievements so far. Thank you for your efforts! Be safe! Kalyan -- Kalyanmoy Deb Koenig Endowed Chair Professor Department of Electrical & Computer Engineering Professor of Computer Science & Engineering Professor of Mechanical Engineering Michigan State University 428 S. Shaw Lane, 2120 EB East Lansing, MI 48824, USA Office: 517 432 2144 Beacon: 517 884 2567 Cell: 517 930 0846 Fax: 517 353 1980 Email: [log in to unmask] ******************************************************************************** Sender: Per Kristian Lehre <[log in to unmask]> Subject: Postdoc opening: "Time-Complexity Analysis of co-Evolutionary Algorithms" Dear colleagues, We welcome applications for a Research Fellow (postdoc) in the theory of evolutionary computation to work with Dr Per Kristian Lehre on the UKRI Turing AI Fellowship funded project "Rigorous Time-Complexity Analysis of co-Evolutionary Algorithms". Co-evolutionary algorithms are heuristic optimisation techniques, mimicking biological principles of natural selection, e.g. for minmax/robust optimisation and learning game playing strategies. The successful candidate will contribute, together with another 3 year postdoc, 2 PhD students, and international academic and industrial partners, towards developing the theoretical foundation necessary for the design of efficient and reliable co-evolutionary algorithms. The ideal candidate will have a strong research track record in theory of evolutionary computation, algorithmic game theory, and/or randomised algorithms. For further details, please see https://secure-web.cisco.com/1PXxEhZqu40R_chTw4vE2KKSEnSIWyoSGmfWABqbLJ3XRIgqgoopUDUcIcnRTccrrrXsXh7LlVKTUP665FmYKVo8MyffurokLcKywqYKDyLTxWmoi5jRMcAizRz2XqZB8Y9bqVUXnTxpMNLVqke-ijgrz8gaBdG2nDEHYS6FwlSXzZWxi1AaumHZDdsGTMbBRI_wi2Rt2lf1DWjelvCSvJfqMXWfdB9dHRxrjIcmDVYkr9BUypMFfhQst9_6oS-dYxMuEED58EZu3sz_CHwMVYM0RwJlQ5t6FjlAMIRmiYZ6PaLfoez203ym0HpMUBgwKeBzg80Wi1x8qDHDW49iUBFvQp5Vfm2IV1z0iqdoYRm3dm2KgDxZtkSC-NBG7ObLEVtOnADL0MraEQBdKHZdfM7KNfV43S-1cuVO6mLkS_DuEeODpTEpYn99FzDAaxkWpumWomYyV9UYLpaN6VGsijwVsZecOsNwoTS-mfObunmQ/https%3A%2F%2Fwww.jobs.ac.uk%2Fjob%2FCFK453%2Fresearch-fellow-in-theory-of-co-evolutionary-computation The closing date is 20 May 2021. Best wishes, -- Dr Per Kristian Lehre Senior Lecturer in School of Computer Science University of Birmingham, UK https://secure-web.cisco.com/1oYBOS6QTM52xvQzcj8BjmAxCympuIa1iYVNndhS14g2W_iM4SQSNfTczSUjRpvRAmSV76272P3Okk8wSTbk8AHyRqLOv8AD16X9FqiBBi3-_2xfRDJzX9tXnbiXL6rr2iQ3d32-JCxujq8amdVdDZeaqoETpKZfwUvtGp84Zhw9Snth7_jABLNH6P57yeXChIYiQw_EH9BH_M_NGl2ARRRomSrG_A4eskZQs4DNygsWjBbDCl5AvV9XDDTcrOTdYfqtPXMVQ2EJ9ipzvp0A_qA0fgY_VLDfnq3bz-_7EHc6IgjoQQLBW83UnSoiIioZOse8gJGlSr8xYnsktdedI8qes0UYv-F4KIDiZL4RF5RJYxl4F1n397gAL3zpWH1nvtl7yQLzaynOldX4tBysmpdLUPiNd0wCmoQUh1dyRyubS9M3pKd9Y2q3eJbDKki1nf78GPqMS3JIaR5lasYqfDQ/https%3A%2F%2Fwww.cs.bham.ac.uk%2F%7Elehrepk%2F @pklehre on Twitter ******************************************************************************** Sender: Pietro Oliveto <[log in to unmask]> Subject: FOGA2021 CFP: Online Conference and Submission Site Open FOGA2021: Foundations of Genetic Algorithms XVI The conference is now officially an online-only event and the submission site is now open 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. Date: September 6-8, 2021 Venue: FH Vorarlberg University of Applied Sciences, Dornbirn, Austria [changed to an online-only event] Conference website: https://secure-web.cisco.com/1aZd-8O1YDxh68llVBS0ujBFA0ARhQjAQTcW7dmUvpWuGwxfJS-BCiJ1LM7LDSeIY7O7g-eYR9HhF_HBRpx5tgTDl23Um1JW-F78hJi9LmXLaeYDhZieSrh3grX-4Z9GG1Rx3cDJwNUN25b9Ji4v1BctyYTZnPmLMRegEOb32HP5USQ2aW739C_oFG_7A6cab6EgQVlzH7rJZURfkl01uoaCbFRH6JJlsTp03_nIqttSwbhyMq_IHsa2aG3gTq-DW7KH9rsRUica-GI2NOxi8rjoW-sooj13qDQlYVVDpmaT_iCkjXhBIIdc9HKI-pMFPWqZctT7g-h8qg7YltAjizO2DX_p-7ASZv_ijdG7yPoP6OAq2Xqim29E3DwaNhUhHU-Ue8H_kXMxgS6l3arwAkeJKUB6F5g-uG3004mpNrswSTYqsMwSs9MDxibbAXOKF8-3qKAKK_ElyaO6ocLwASw/https%3A%2F%2Fwww.fhv.at%2Ffoga2021 Submission link: https://easychair.org/conferences/?conf=foga2021 Submission deadline (final) May 23, 2021 --- List of Topics 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 Benchmarking 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. --- Important Dates Submission deadline (final): May 23, 2021 Author rebuttal phase: June 21 - 27, 2021 Notification of acceptance: June 27, 2021 Camera-ready submission: July 14, 2021 Early-registration deadline: July 14, 2021 --- Venue The conference will be held at Vorarlberg University of Applied Sciences in Dornbirn, Austria. Located in the center of Europe, Dornbirn is one of the major cities of the Alpine Rhine Valley. For details, refer to the conference website. The ongoing limitations have led to the decision to make FOGA2021 an online-only event. Nevertheless, the organization team will do its best to provide a pleasant and exciting conference experience. ******************************************************************************** Sender: Eric Medvet <[log in to unmask]> Subject: CFP META'2021 @Marrakech Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021 Marrakech, Morocco http://secure-web.cisco.com/1x7FwOkxQuk-tSIieXZg-6AVMw4HQrdwfGAITTvJJ0HVBK-BEHmF8PpKvgoO8r0Ufwsn2d41y8ArIMAaoCkI-j96sKcAu8Tw8eb7rhJPPtIwlPH5k7dwbJgI3Oj1r9oLRiMDpzHYCZTeFB2O1SywyTZyAOsbYDv3sJhvi6JywelvjkWvVZ9Xu_IJB932CTDtq6OFJXG3ifCDGHgIaZyR6DN1drgUtTW0_lGL8v1j8413wyAl63lPe19uUl0RU2nLqjXnO6G5U5kz_RAaDcuCE3EpXV2jne-nCMXfobeMTol0ePcYY6qU_xHnFgs4Md4pwGPLiglaDNWNVgYTYYwGQo2nYigMaE7htPp1lTV-WSDoo8hEpwJo5JW4bTGltyqCkcoXHVsRvwsu-pbIVZXJ6Oy9JauEyPgJ87AXh1vjDIK8rxEecLQ7RvtF77YXcpxxr2O6s-yDqfmjNuFwoM1MH1w/http%3A%2F%2Fmeta2021.sciencesconf.org%2F META is one of the main event focusing on the progress of the area of metaheuristics and their applications. As in previous editions, META’2021 will provide an opportunity to the international research community in metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old friends and make new ones in a friendly and relaxed atmosphere. All selected long papers will be published in the Springer (SCOPUS, ISI, DBLP) conference proceedings. At least 2 special issues in ISI and SCOPUS journals are also confirmed. META'2021 welcomes presentations that cover any aspects of metaheuristic research such as new algorithmic developments, high-impact applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies. META'2021 strives for a high-quality program that will be completed by a number of invited talks, tutorials, workshops and special sessions. The scope of the META conference includes, but is not limited to: * Local search, tabu search, simulated annealing, VNS, ILS, … * Evolutionary algorithms, swarm intelligence, bio-inspired algorithms, … * Emergent nature inspired algorithms: quantum computing, artificial immune systems, bee colony, DNA computing, … * Quantum computing * Parallel and distributed algorithms * Decomposition methods * Hybrid methods with machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, … * Application to: logistics and transportation, networks, scheduling, data mining, engineering design, energy, cloud, bio-medical, … * Theory of metaheuristics, landscape analysis, convergence, problem difficulty, very large neighbourhoods, … * Multi-objective optimization, bi-level optimization * Dynamic optimization, problems with uncertainty, stochastic optimization, … * Parameter tuning (static, dynamic, adaptive, self-adaptive) * Hyper-heuristics, cross-domain metaheuristics * Software frameworks for metaheuristics and nature inspired computing Important dates _______________ - Submission deadline: May 30, 2021 - Notification of acceptance: June 18, 2021 ******************************************************************************** Sender: ICNC FSKD <[log in to unmask]> Subject: 17th Conf. Natural Computation, Fuzzy Systems and Knowledge Discovery 24-26 July 2021 UNESCO World Heritage sites in Guizhou include Hailongtun Tusi Fortress, Fanjingshan, South China Karst at Xiaoqikong, and China Danxia at Chishui. http://secure-web.cisco.com/1ufI3UjtboIG9rEIamKIfqF5SACFGslFMP0cGyWnnASH0tO4uEHL2CTQlT588Ugfq-FknQXKNjrg4fgVTArO_5V0oJnHL1nT1DOduZM1TdBE0POv_JiCEChhVXQcxhNrPyg5tcgjla-S1ikzrMXnQ0hcy86V5hOM1qD8pljbQYWCBgzYnpt2rtPQQ_Spt23enD-GKEhHDWK4-A9s8LKb2ebGlx1-LrWCaltcVjhN5TieJJsR46WHNFF3p0tWMmb01ycVGJ0JmcE_X-Hj9o1yG3Bs9X2I-DfB_PAtiSjl7Ele11jPqze-2Y46heBm0G2X3AqLKPSmYssiCwHqwcHz8r0-5hUO_Ktf61oy-mMIdeTZo_rqkNddWnsFPBgqqLZnG1Pll4wuxn7f78wBvwaCVdNGdBXQ5fTPxuvBI6v4P76kFkAPdFtuVfCu6zVxOP5aNMFpLVQ4HXIW7WU_nHtkvYw/http%3A%2F%2Ficnc-fskd.gzu.edu.cn%2F ******************************************************************************** Sender: Beham Andreas <[log in to unmask]> Subject: Competition on Dynamic Stacking Optimization in Uncertain Environments @ GECCO 2021 COMPETITION ON DYNAMIC STACKING OPTIMIZATION IN UNCERTAIN ENVIRONMENTS to be held as part of the 2021 Genetic and Evolutionary Computation Conference (GECCO 2021) organized by ACM SIGEVO (https://secure-web.cisco.com/11ZvlNZlUz8UT0Ckd5WJXqbYBy8Rj6_CwcXMmDtTYoBKYIQbjd4yQPt2YNOKOOvOA694H0R0wxDSf7DbF9PA09yrqB5atbgjFJSvLsGDgWhLX7BGEllOCsEvT292-ztEZ4XPb81diees7pcgKf-4AYLagU1fuSLMpVwzzCF2fxbEk2smPTGFg-VEeXfS8UM1Mv4fPlkl1V0GMbriBfPJVkq2mL6U8EqqiXOzIVQIHYtqNsdDSBX61WsYQ_9A5hbDC0mmoTW0i2SF4AG8EJWXI7A77IAXCZwaJDAbN-PfXt_rKqPtSKlZeSNDAksOnehrIJMfSZC8YAzLV2eWnUwZlReMMW1q9_lUcOyMFADBglMUb9loet0yKs8xkG7FlDUpOzXGrw0x6wEAuUw8QN2SVQIqLIVn5HYeU8Zc0-ABAkrxV-0YtYWOzA_Jl7Q375X57zXOYoZvw4l4o2KZYhyDxNQ/https%3A%2F%2Fgecco-2021.sigevo.org). Competition webpage: https://secure-web.cisco.com/1g6rVIAmVjTTTXjIln4O5R7eJU9ZB1UcaVSR9lPh3IjrO-ZYl6ZCIaHYkdMpbXRKylPLSsq9L2UwHJ1OYNuCkLG3RlV0rzT_ou5gR7eyZCyXt49UkF-YpSBWaxXQ1_Cy_Tgx2W-LVskx55xFdTMkslh2wVyizmFeLUOa8uSbArJjudOE5rZ9V8WG5-NoUG3wq-sfB_iVr5QNaX-X8hyzWrV5A-oNE4sJc0mJOaPh5M6VilKd3Q-UlJE7REUy-sX1bpjsLyEamhxGvlhhmJGZ097Dpimf6wOzjt6ATdHrW0sTiidswmpet32YsjErub_Mfd9tpIyR6uA66tnzqb3Jny334RhB3Tt73rk5G5UNL5R2JNnk5lr12KvrF_aOA2sxf4pOe-Bm3PqIFJt5UJ9M46uC-RGqgcS4hBLp4C5YdXoJ7OQQMc6bxgfVMQkjhcBvZleC412JTV_v8Q7QXopzf5Q/https%3A%2F%2Fdynstack.adaptop.at In this competition we give you a server where you can delve into two challenging and mysterious worlds of blocks and stacks. The hero in these worlds are robotic cranes that are fearlessly stacking and delivering blocks. Did you ever wish to take control of such a robot solving a herculean task? Well, now is your chance! Our cranes want to do a good job and therefore rely on YOUR optimization skills! They wait for you to tell it which blocks to pick up and where to drop them off so that the continuing stream of incoming blocks is dealt with most effortlessly. A 15 minutes getting started tutorial is available on the competition webpage which shows how you can run a (pretty bad) sample policy. This is implemented in four different languages: C++, Python, C#, and Rust. However, you can use any other programming language that you like! The basic requirements is that you have an implementation of ZeroMQ and Protobuf. We aimed to make the topic of optimization in dynamic or uncertain environments as easy to approach as possible and yet create a challenging and also rewarding experience. There are two tacks with increasing complexity and challenge. Each time you have one hour in real-time where you decide on the cranes’ actions. In the first track “Hotstorage” you are controlling one crane that serves one arrival stack and one handover stack using a range of buffer stacks. In the second track “Rolling mill” you are controlling two cranes with capacity > 1 that serve a larger number of arrival stacks and two handover stacks. You can compete in either or both tracks. You are given certain training scenarios to test your solver with. This competition is hosted by Andreas Beham, Stefan Wagner, Sebastian Leitner, Johannes Karder, and Bernhard Werth at the University of Applied Sciences Upper Austria (https://secure-web.cisco.com/13pZHZqaKFhz0iZzkoVvyeHDbSWZA3_HrGtxEROlazmvJNpm_jRNN6swRU3wyUG3WP9uOquDJdiTgZzOh8YhJEagSLqyaZq4RZrw6TtEI4yK9LEOcn5rKzscvW7LMMTvmdZ54jpIBj1TgnKr1chZXOjpGljkr1tOAouOoYVyNB1tqYMd5vW3UbDl15TihcYgxGDGb3YKsK3z_YDRho2OuWsnOxHO3Kk9KA9fOvyQbhdMJKEBLADU_v8j4egznwKiDpcb2jCmrlWWmgr0q52rcm6yayh3gJquuvpihXzL_VeKL2rtwwFStz_9OiQEiqxtu2VEjJmqgTAxCoGq2PlBz7xf2pvpLQfiKA7v8NFiUzJ2vv4ACcIb_chqmruX0uN7l4ymIvr0dxtpB1872GbmAgnUkPTRcD9FlpL2QavF7zAevNoyML1GOyNj69qEcSRqbiIjfbGxWSHQTcEp3i7btOA/https%3A%2F%2Ffh-ooe.at%2Fen) Hagenberg Campus within the research project Josef Ressel Center for Adaptive Optimization in Dynamic Environments (https://secure-web.cisco.com/16cdDaiW5G24cF_h89Of4oJM_F27L0F52t2oYI1xTVxQ6XqzIjSGckdWMtko4eO-mLz02XyxcuucMJ-FTRISO8TM2oBJZz1Xl3Uv_anxYRfjDrtXMk3kdIeKfnxOFtoFPbeeWpX5DBa_E_4yf-lZnnADOzVZfWZAWvqN-eaWTpKLmFYsBd0ecNGYo5BmKoFRdQ6VfptuwwkNnKZZM8GT16mEdHPf1M5_oTZWqEgFOiX7fGryxPbTn80lg5dfqKRgDjB24BUOxMi5LsgCUDwgTqnFt9ICS-4sZK2dKEoGsSY9fh4rvCXSOPcBVKYUyNaCeu0MloGot1VK3xh4e_oxCDCNUkGMnQesWXLEV-ZWzqG2CjXIqK8n9pIp9La7J483MiC3LBkq1cKPkOXh4173NvRSKKD8jgTiQQ6MnpMq7oAo6A6Ok6r-7kcHjeCBQigUgi-w0-mZijY24nRecQvXBkg/https%3A%2F%2Fadaptop.at) led by Stefan Wagner and funded by the Christian Doppler Forschungsgesellschaft (https://secure-web.cisco.com/1mAgKbKUO_bQNkgfgJsM24UFvedMXftpOsiNxSfBG2kJANlrhnsVT9Qsa0ekz_Stg8hGaiaTGJzw4BSLdXsakZAJmr-3LQs4k0hpQ0C5dZ1Lt41iSNvA7OlG9med67QM99BgKvvI3RllprzAj7jkpRaGx4gOnhs9neLfCxTyZkrdSjLb5ScRQS6OHeQ76BMftecwzmDAOBGZeWOTw8jGn1Dg1CWf5aJ3Mn2NBoKT_jKKgU_Q3IjavCt-y2SZC3tnXCQQngP9ZIPmhqqvx9BFhs9MRQyIRpsCcrINFwyOm7RR_Cq_KJ-TjDhPbVY0h_z8RjeVsG829z6ecY6XtjATEICQAcmd7_bCQiM6qm5K5g5b4cn89k7eON_dNOIuIImidovNrcgPlA65bqqmDsJrzB2_UhQGLIY_TEuP4dA93QCElTjABu8l4U7TgTTZWedyiEsEddF4fVOf0NsemPEClQA/https%3A%2F%2Fwww.cdg.ac.at%2Fen). If you have any questions, comments, or suggestions, please don't hesitate to contact us at [log in to unmask] You can also publish a 2-page summary of your contributions in the Companion Materials of the Proceedings of ACM Genetic and Evolutionary Computation Conference (GECCO 2021). Deadline for these 2-page summaries is April 12th. Instructions are given [*], however, only 2 pages are allowed. Submission to the GECCO proceedings is not required to participate in the competition, nor is it required to attend GECCO. The announcement of the winner will be made during GECCO 2021. We hope that you will have fun participating in this challenge! The deadline is Saturday June, 27 2021 (anywhere in the world). For more information please visit our webpage https://secure-web.cisco.com/1g6rVIAmVjTTTXjIln4O5R7eJU9ZB1UcaVSR9lPh3IjrO-ZYl6ZCIaHYkdMpbXRKylPLSsq9L2UwHJ1OYNuCkLG3RlV0rzT_ou5gR7eyZCyXt49UkF-YpSBWaxXQ1_Cy_Tgx2W-LVskx55xFdTMkslh2wVyizmFeLUOa8uSbArJjudOE5rZ9V8WG5-NoUG3wq-sfB_iVr5QNaX-X8hyzWrV5A-oNE4sJc0mJOaPh5M6VilKd3Q-UlJE7REUy-sX1bpjsLyEamhxGvlhhmJGZ097Dpimf6wOzjt6ATdHrW0sTiidswmpet32YsjErub_Mfd9tpIyR6uA66tnzqb3Jny334RhB3Tt73rk5G5UNL5R2JNnk5lr12KvrF_aOA2sxf4pOe-Bm3PqIFJt5UJ9M46uC-RGqgcS4hBLp4C5YdXoJ7OQQMc6bxgfVMQkjhcBvZleC412JTV_v8Q7QXopzf5Q/https%3A%2F%2Fdynstack.adaptop.at [*]: https://secure-web.cisco.com/11ViStSyZJZK4cZlxYWaBTthQ9AzUFtiAovAhDmMwO_7UUrvm4j4OmLwr0QgIeTriXv7aNKZWWewYorpV2FfIYUVXBBLawMd_Ibo7RuJ1yTxCHaPmc3NF5iuCqDj8goEZc3n-wSmkKb7mH69BRzxU0laqGbUBuEpY35ayRCJbNjhiaNK5N9paaFSANn2AhgSHCqt9uawraBzAMOS_vuSKfCED-gQrTEF_T2J64ujl_VSNhRE2eCWxisj1zkahEuWN-MGuj8qjhlRvbXSWMn_YMV1x3C_2bXl2RbF4P5eevGwEh3FX4jqGEdrIyzs2ATgVm9WQF1zotDhibd4hjXDOdQHNZMX2xJ3GxUVUHNNXgNFcE-zShQmRQiMoadwNtJrY6n_-E_WWxKp0pWE_9Wwjk3sFPSG5Xu8JF_in27a-oxkjuQmABtcJEKbBe7GVCHgknIzP7JfbkzPUu3L_wfmEZw/https%3A%2F%2Fgecco-2021.sigevo.org%2FPaper-Submission-Instructions ******************************************************************************** Sender: Federico Divina <[log in to unmask]> Subject: CfP: Special issue on "Application of Evolutionary Computation" Special Issue on "Application of Evolutionary Computation" A special issue of Applied Sciences (IF 2.474 ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence". https://secure-web.cisco.com/1uyFCD2d-vlJY1SHmhXZHYzOxyfPMTCHC428lUFuqDRkh4E_1bZ_N9lLxbuDPhM8LtPNjfLlII5owYe7B3fUQcKZLeadCJjf6yyl4k7tJNxE4kNdew7WICF0MIutQaHR88qUOz52-8yApTdIFXmFyjUtrrTMTLjq_y7xUBN5igyDRBQTEDi1FvCB0F93BF-FcFfTEqiPCM2emdMx6v_tEfd5lIWiQxw5-Vgc-o99gWWQy7fEcoyAJDfuvM7hMqw5jmvFhFRch6fq8wpw-yRHmFTQdtVOWTOwJN54rrK5bjOoJagTVDGmFXU7ZLkCxcx78kAcu7wJ3OXfqTNhi5LsSyaH1ATDOGncZxyUuMR7mxGSvFylLPtFwtilRxLrV4g14XGW3FYHrsJD3RhCmuLH3fBxE9h0uRj60SqReZKkrX4OqWf49uI4PWkLZq3H1sqSpvjkhikyMUkUEGRZg83VfBQ/https%3A%2F%2Fwww.mdpi.com%2Fjournal%2Fapplsci%2Fspecial_issues%2Fapp_evo Deadline for manuscript submissions: 30 June 2021. Guest Editors Federico Divina and Francisco A. Gómez Vela (Pablo de Olavide University - Spain) Dear Colleagues, Evolutionary Computation has been applied to a wide range of real-life problems, ranging from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, bioinformatics, scheduling, and logistics. The aim of this Special Issue is to present a collection of studies describing the latest advances in techniques and applications of Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming, Simulated Annealing, Ant Colony Optimization, and related techniques. Of particular interest is the application of these techniques to computationally difficult combinatorial problems. We also encourage researchers to share their original work in the field of computational analysis of gene expression data. Topics of primary interest include, among others, the applications of: 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. evolutionary computation; soft computing; real-life applications. ******************************************************************************** Sender: lehrepk <[log in to unmask]> Subject: CFP: Special Issue on Theoretical Foundations of Evolutionary Computation We invite submissions of papers on the theory of evolutionary computation for publication in a special issue of Theoretical Computer Science, Track C -Theory of Natural Computing. Guest Editors Per Kristian Lehre, University of Birmingham, U.K. Aneta Neumann, The University of Adelaide, Australia Chao Qian, Nanjing University, China Aim Evolutionary computation methods such as evolutionary algorithms and swarm intelligence algorithms have been successfully applied to a wide range of real-world optimization problems. Conventional optimization algorithms often require objective functions to be differentiable, continuous, or convex. However, these assumptions are often not met in real-world optimization. In contrast, evolutionary computation methods only assume (zeroth order) black-box access to the objective values of solutions. Mimicking natural phenomena, evolutionary computation methods are often highly randomized and complex, making a theoretical analysis challenging. During the past two decades, there have been significant theoretical efforts. This research has brought general theoretical analysis tools such as fitness levels and drift analysis. These results provide useful insights into the working principles of evolutionary computation methods which have helped practitioners design more powerful algorithms. As evolutionary computation methods are applied to more complex real-world optimization problems, there is a need to further understand these methods theoretically. Thus, this special issue aims to advance the theoretical understanding of evolutionary computation methods. Scope This special issue solicits original, high-quality contributions on the theory of evolutionary computation. The scope includes, but is not limited to: General analytical methods like fitness levels and drift analysis Exact and approximation runtime analysis Black-box complexity Population diversity and dynamics Variation and selection operators Self-adaptation Fitness landscape and problem difficulty analysis All classes of evolutionary computation methods will be considered including (but not limited to): evolutionary algorithms, ant colony optimization, artificial immune systems, particle swarm optimization, estimation of distribution algorithms and differential evolution. All problem domains will be considered, including (but not limited to): discrete and continuous optimization, single-objective and multi-objective optimization, constrained optimization, and optimization under uncertainty (e.g., noisy, dynamic and robust optimization). Planned Schedule Submission deadline: December 31, 2021 Notification: September 31, 2022 Final paper submission: October 31, 2022 Tentative publication date: 2023 Submission Instructions Authors should submit their manuscripts to the Theoretical Computer Science Editorial System (EM) at https://secure-web.cisco.com/1fIxTlWkMVhfnDYI2gtVLMp0nQYHgVMYmCsRSuuJbKCSD_NmxfnV7-_QGGhxXZqCXSoL5aJY6_ugy8B_hrKjgfK9U6IZgD5On-VO09gZ-aspFoLtZnKb8hgVbmcGOxNrBltJeKS3YxeKXAuVZ1X2ABJyQVuElsqiKnArKvtV00Tdg01t2rHY7YUHGaYqP1vLHz4eUTbFd1wgYat39aVLIC9AQF0aGOG56wcGV7P4Fw9bdcZ9Wzh38OHwFw7h1IWieXzJU-k6caJkN7k7bXbj8SN_bcjgVPS91mAio8ZyaCBI9FGoRlZwelP9nbwGr5bAZrJNqS-cr5HegdPB5zWFq3_yvjVkOvFbt-0jv3ctwXD1kWzMydjmcZlF1Ve-yMvTBg1S2T2O7eOcaqmTcdTGyAsLH9_IRZ_5KgANiwO1YHWUuMqSNMrF6G-_q8F-d39QobqYTj_zK_HEmAziUl7O2sw/https%3A%2F%2Fwww.editorialmanager.com%2Ftcs%2Fdefault.aspx, and indicate “Special Issue: Theoretical Foundations of Evolutionary Computation” for their submission. Contributions should be typeset in PDF format or the system converts article files to a single PDF file used in the peer-review process. Editable files (e.g., Word, LaTeX) are required to typeset an article for final publication, and must comply with TCS's author guidelines, which can be retrieved from the Elsevier website, https://www.elsevier.com/journals/theoretical-computer-science/0304-3975/guide-for-authors. ******************************************************************************** (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 following text in the body of the message: unsubscribe ec-digest-l - To change your email address, simply unsubscribe the old address and subscribe the new one. - Send other administrative requests to [log in to unmask] ******************************************************************************** End of Evolutionary Computation Digest ********************************************************************************