The paper submission deadline of the 2019 IEEE Congress on Evolutionary Computation has been extended until January 31, 2019. As a result, we are happy to announce that there are also two more weeks for authors to submit their papers to our Special Session on Benchmarking of Evolutionary Algorithms for Discrete Optimization (BEADO).
Evolutionary Computation (EC) is a huge and expanding field, attracting more and more interests from both academia and industry. It includes a wide and ever-growing variety of optimization algorithms, which, in turn, are applied to an even wider and faster growing range of different problem domains, including discrete optimization. Benchmarking is the engine driving research in the fields of Evolutionary Algorithms (EAs) for decades, while its potential has not been fully explored. With our special session, we want to bring together experts on benchmarking, evolutionary computation algorithms, and discrete optimization and provide a platform for them to exchange findings, to explore new paradigms for performance comparison, and to discuss issues such as:
• modelling of algorithm behaviors and performance
• visualizations of algorithm behaviors and performance
• statistics for performance comparison (robust statistics, PCA, ANOVA, statistical tests, ROC, …)
• evaluation of real-world goals such as algorithm robustness, and reliability
• theoretical results for algorithm performance comparison
• comparison of theoretical and empirical results
• new benchmark problems
• the comparison of algorithms in “non-traditional” scenarios such as
• multi- or many-objective domains
• parallel implementations, e.g., using GGPUs, MPI, CUDA, clusters, or running in clouds
• large-scale problems or problems where objective function evaluations are costly
• dynamic problems or where the objective functions involve randomized simulations or noise
• comparative surveys with new ideas on
• dos and don'ts, i.e., best and worst practices, for algorithm performance comparison
• tools for experiment execution, result collection, and algorithm comparison
• benchmark sets for certain problem domains and their mutual advantages and weaknesses
Please visit the special session website for more information: http://iao.hfuu.edu.cn/beado19
Chairs
• Markus Wagner, University of Adelaide, Adelaide, SA, Australia
• Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China
• Aleš Zamuda, University of Maribor, Slovenia
International Program Committee
• Abhishek Awasthi, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany
• Christian Blum, Artificial Intelligence Research Institute, Bellaterra, Spain
• Jakob Bossek, Westfälische Wilhelms-Universität Münster, Münster, Germany
• Josu Ceberio Uribe, University of the Basque Country, Bilbao, Spain
• Wenxiang Chen, LinkedIn, Sunnyvale, CA, USA
• Carola Doerr, Sorbonne University, Paris, France
• Mohamed El Yafrani, Aalborg University, Aalborg, Denmark
• Marcus Gallagher, University of Queensland, Brisbane, Australia
• Pascal Kerschke, Westfälische Wilhelms-Universität Münster, Münster, Germany
• Michael Kolonko, Clausthal University of Technology, Clausthal-Zellerfeld, Germany
• William La Cava, University of Pennsylvania, Philadelphia, PA, USA
• Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany
• Bin Li, University of Science and Technology of China, Hefei, China
• Jinlong Li, University of Science and Technology of China, Hefei, China
• Pu Li, Technische Universität Ilmenau, Ilmenau, Germany
• Xinlu Li, Institute of Applied Optimization, Hefei University, Hefei, China
• Chao Qian, University of Science and Technology of China, Hefei, China
• Mohammad Ali Raayatpanah, Kharazmi University, Tehran, Iran
• Danilo Sipoli Sanches, Federal University of Technology – Paraná, Cornélio Procópio, Brazil
• Markus Ullrich, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany
• Markus Wagner, University of Adelaide, Adelaide, SA, Australia
• Hao Wang, Leiden University, Leiden, The Netherlands
• Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China
• Borys Wróbel, Adam Mickiewicz University, Poland
• Yuezhong Wu, University of New South Wales (UNSW), Sydney, Australia
• Zhize Wu, Institute of Applied Optimization, Hefei University, Hefei, China
• Furong Ye, Leiden University, Leiden, The Netherlands
• Aleš Zamuda, University of Maribor, Slovenia
• Xingyi Zhang, Anhui University, Hefei, China
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