| 1 | = Evolutionary Computation Software Systems (!EvoSoft) Workshop at [http://gecco-2022.sigevo.org GECCO 2022] = |
| 2 | |
| 3 | == Description & Topics == |
| 4 | |
| 5 | Evolutionary computation (EC) methods are applied in many different domains. Therefore soundly engineered, reusable, flexible, user-friendly, and interoperable software systems are more than ever required to bridge the gap between theoretical research and practical application. However, due to the heterogeneity of the application domains and the large number of EC methods, the development of such systems is both, time consuming and complex. Consequently many EC researchers still implement individual and highly specialized software which is often developed from scratch, concentrates on a specific research question, and does not follow state of the art software engineering practices. By this means the chance to reuse existing systems and to provide systems for others to build their work on is not sufficiently seized within the EC community. In many cases the developed systems are not even publicly released, which makes the comparability and traceability of research results very hard. |
| 6 | |
| 7 | This workshop enables EC researchers to exchange their ideas on how to develop and apply generic and reusable EC software systems and to present open and freely available solutions on which others can build their work on. Furthermore, the workshop should help to identify common efforts in the development of EC software systems and should highlight cooperation potentials and synergies between different research groups. It concentrates on the importance of high-quality software systems and professional software engineering in the field of EC and provides a platform for EC researchers to discuss the following and other related topics: |
| 8 | |
| 9 | * development and application of generic and reusable EC software systems |
| 10 | * architectural and design patterns for EC software systems |
| 11 | * software modeling of EC algorithms and problems |
| 12 | * open-source EC software systems |
| 13 | * expandability, interoperability, and standardization |
| 14 | * comparability and traceability of research results |
| 15 | * graphical user interfaces and visualization |
| 16 | * comprehensive statistical and graphical results analysis |
| 17 | * parallelism and performance |
| 18 | * usability and automation |
| 19 | * comparison and evaluation of EC software systems |
| 20 | |
| 21 | == Important Dates == |
| 22 | |
| 23 | || Submission deadline: || '''April 11th, 2022 (strict!)''' || |
| 24 | || Notification of acceptance: || '''April 25th, 2022''' || |
| 25 | || Camera-ready submission: || '''May 2nd, 2022''' || |
| 26 | || Hybrid workshop at [http://gecco-2022.sigevo.org GECCO 2022]: || '''July 9th or 10th, 2022''' || |
| 27 | |
| 28 | == Submission Guidelines == |
| 29 | |
| 30 | Authors have to submit their papers until April 11th, 2022 using the [https://ssl.linklings.net/conferences/gecco GECCO submission system]. After login, authors need to select the "Workshop Paper" submission form and "Workshop Evolutionary Computation Software Systems" to submit their work to the !EvoSoft Workshop. |
| 31 | |
| 32 | All workshop papers must not exceed 8 pages and have to fulfill the preparation instructions for GECCO'22 full papers. Detailed formatting instructions for authors are listed [http://gecco-2022.sigevo.org/Paper-Submission-Instructions here]. |
| 33 | |
| 34 | '''[[span(PLEASE NOTE:, style=color: red)]] Due to the current worldwide crisis regarding COVID-19, GECCO organizeres have decided that GECCO 2022 will be held as a __hybrid conference__. All participants can attend either onsite or online and all onsite sessions are also streamed online.''' |
| 35 | |
| 36 | {{{#!comment |
| 37 | == Program == |
| 38 | |
| 39 | '''Location:''' [https://whova.com/portal/gecco_202107 GECCO 2021 online platform] [[BR]] |
| 40 | '''Date:''' July 10th, 2021 [[BR]] |
| 41 | '''Time:''' 16:00 - 17:50 (CEST, UTC/GMT+2) [[BR]] |
| 42 | |
| 43 | ||||||='''Session 1 (Chairs: Stefan Wagner & Michael Affenzeller)''' =|| |
| 44 | || 16:00 || Welcome & Introduction || Stefan Wagner || |
| 45 | || 16:05 || Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics || Johann Dreo, Arnaud Liefooghe, Sébastien Verel, Marc Schoenauer, Juan J. Merelo, Alexandre Quemy, Benjamin Bouvier, Jan Gmys || |
| 46 | || 16:30 || Component-Based Design of Multi-Objective Evolutionary Algorithms Using the Tigon Optimization Library || Joao A. Duro, Daniel C. Oara, Ambuj K. Sriwastava, Yiming Yan, Shaul Salomon, Robin C. Purshouse || |
| 47 | || 16:55 || EBIC.JL - an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia || Paweł Renc, Patryk Orzechowski, Jarosław Wąs, Aleksander Byrski, Jason H. Moore || |
| 48 | || 17:20 || AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms || Kory Becker, Justin Gottschlich || |
| 49 | || 17:45 || Closing Remarks || Michael Affenzeller || |
| 50 | }}} |
| 51 | == Workshop Chairs == |
| 52 | |
| 53 | [http://heal.heuristiclab.com/team/wagner Stefan Wagner], Austria [[BR]] |
| 54 | Stefan Wagner received his MSc in computer science in 2004 and his PhD in technical sciences in 2009, both from Johannes Kepler University Linz, Austria. From 2005 to 2009 he worked as associate professor for software project engineering and since 2009 as full professor for complex software systems at the Campus Hagenberg of the University of Applied Sciences Upper Austria. Stefan Wagner is one of the founders of the research group Heuristic and Evolutionary Algorithms Laboratory (HEAL) and is project manager and head architect of the open-source optimization environment HeuristicLab. He works as project manager and key researcher in several R&D projects on production and logistics optimization and his research interests are in the area of combinatorial optimization, evolutionary algorithms, computational intelligence, and parallel and distributed computing. |
| 55 | |
| 56 | [http://heal.heuristiclab.com/team/affenzeller Michael Affenzeller], Austria [[BR]] |
| 57 | Michael Affenzeller has published several papers, journal articles and books dealing with theoretical and practical aspects of evolutionary computation, genetic algorithms, and meta-heuristics in general. In 2001 he received his PhD in engineering sciences and in 2004 he received his habilitation in applied systems engineering, both from the Johannes Kepler University Linz, Austria. Michael Affenzeller is professor at the University of Applied Sciences Upper Austria, Campus Hagenberg, head of the research group Heuristic and Evolutionary Algorithms Laboratory (HEAL), head of the Master degree program Software Engineering, vice-dean for research and development, and scientific director of the Softwarepark Hagenberg. |
| 58 | |
| 59 | == Previous EvoSoft Workshops == |
| 60 | |
| 61 | [wiki:EvoSoft/2021 EvoSoft at GECCO 2021][[BR]] |
| 62 | [wiki:EvoSoft/2020 EvoSoft at GECCO 2020][[BR]] |
| 63 | [wiki:EvoSoft/2019 EvoSoft at GECCO 2019][[BR]] |
| 64 | [wiki:EvoSoft/2018 EvoSoft at GECCO 2018][[BR]] |
| 65 | [wiki:EvoSoft/2017 EvoSoft at GECCO 2017][[BR]] |
| 66 | [wiki:EvoSoft/2016 EvoSoft at GECCO 2016][[BR]] |
| 67 | [wiki:EvoSoft/2015 EvoSoft at GECCO 2015][[BR]] |
| 68 | [wiki:EvoSoft/2014 EvoSoft at GECCO 2014][[BR]] |
| 69 | [wiki:EvoSoft/2013 EvoSoft at GECCO 2013][[BR]] |
| 70 | [wiki:EvoSoft/2012 EvoSoft at GECCO 2012] |