 |
 |
** Apologies for cross-posting ** Invited Session on Automated Algorithm Design for Multi-objective Optimization Problemsat the 25th International Conference on Multiple Criteria Decision Making (MCDM 2019), Istanbul/ Turkey, June 16 - 21, 2019 Abstract submission deadline: January 30, 2019 Submission: https://mcdm2019.org/submissions/ Call for Abstracts (Max. 4000 characters with spaces):-------------------------------------------------------------------- # Subject Area Code: IS05 (Cai, Misir, Ozcan) Algorithm design is a challenging task, in particular for solving computationally hard optimization problems, which would require expertise both on algorithm development and target problem domain. Due to the presence of immensely large design spaces, the design challenge becomes harder to deal with and time consuming no matter what the expertise level is. Besides that, the designed algorithms are doomed to be sub-optimal so while an algorithm performs well on a certain set of instances from a problem domain, it performs poorly on others. One way of addressing this issue is to design meta-algorithms, under Automated Algorithm Design (a.k.a. computer-aided algorithm design), for delivering high-level algorithmic solutions through selection, configuration and generation operating either Offline, i.e. prior to an instance is being solved, or Online, i.e. while an instance is being solved. Various automated algorithm design approaches have been successfully applied to a wide range of combinatorial optimization problems from academia and real-world, such as timetabling, scheduling, rostering, routing, cutting and packing. The aim of this special session is to gather researchers and practitioners working on the automated algorithm design issues for Multi-objective Optimization to share their studies, experience and knowledge. The main topics of interest include (but are not limited to): - hyper-heuristics for multi-objective optimization - adaptive operator selection for multi-objective optimization - parameter tuning/control for multi-objective algorithms - algorithm/operator generation for multi-objective optimization This special session will be organized in connection with the Task Force on Hyper-heuristics within the Technical Committee of Intelligent Systems and Applications at IEEE Computational Intelligence Society and the EURO working group on Data Science meets Optimization (DSO). Organizers: --------------- - Dr. Xinye Cai, Nanjing University of Aeronautics and Astronautics, China- Dr. Mustafa Misir, Nanjing University of Aeronautics and Astronautics, China- Dr. Ender Ozcan, University of Nottingham, UK Important Dates:----------------------- Abstract Submissions: January 30, 2019 Notification to Authors: March 20, 2019 Early Registration: April 10, 2019 Late Registration: May 8, 2019 Conference: June 16 - 21, 2019 For more details: https://mustafamisir.github.io/ss-aad-mcdm2019.html Best regards, Xinye Cai (Nanjing University of Aeronautics and Astronautics)Mustafa Misir (Nanjing University of Aeronautics and Astronautics)Ender Ozcan (University of Nottingham) ++++++++++++++++++++++++++++++++++++++++ Mustafa MISIR -------------------------------------------------------------------------------------Machine lEarning and Operations Research (MEmORy) LabInstitute of Machine Learning and Computational IntelligenceCollege of Computer Science and Technology, Office: 230Nanjing University of Aeronautics and Astronautics29 Jiangjun Road, Jiangning, 211106 Nanjing/Jiangsu, China Web: http://mustafamisir.github.io | http://memoryrlab.github.io -------------------------------------------------------------------------------------- ######################################################################## To unsubscribe from the AI-SGES list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=AI-SGES&A=1