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RWACMO, GECCO 2019 : Workshop on Real-world Applications of Continuous and Mixed-integer Optimization, GECCO 2019

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Link: http://www.ifs.tohoku.ac.jp/edge/gecco2019-ws/
 
When Jul 13, 2019 - Jul 14, 2019
Where Prague, Czech Republic
Submission Deadline Apr 3, 2019
Notification Due Apr 17, 2019
Final Version Due Apr 24, 2019
Categories    optimization   evolutionary computation   metaheuristics   real-world problem
 

Call For Papers

Workshop on Real-world Applications of Continuous and Mixed-integer Optimization
to be held as part of the
2019 Genetic and Evolutionary Computation Conference (GECCO 2019)
Prague, Czech Republic
July 13-17, 2019
https://gecco-2019.sigevo.org

Workshop URL: http://www.ifs.tohoku.ac.jp/edge/gecco2019-ws/
Invited speakers: Yaochu Jin (University of Surrey, UK) and Markus Olhofer (Honda Research Institute Europe, Germany)

Continuous and mixed-integer optimization are two fields where evolutionary computation (EC) and related techniques have been successfully applied in disciplines such as engineering design, robotics, and bioinformatics. Real-world continuous and mixed-integer problems provide unique challenges that cannot be fully replicated by algebraic and artificial problems, in which characteristics of these problems could be different across a variety of scientific fields. Some of these characteristics are expensive function evaluations, vast design space, multi/many-objective optimization, and correlated variables, to name a few. Besides optimization, EC/related techniques also frequently work hand-in-hand with machine learning and data mining tools to explore trade-offs and infer important knowledge that would be useful for real-world optimization processes. Fundamental differences between combinatorial and continuous/mixed integer optimization lead to different approaches in the research, algorithmic development, and application of EC/related techniques. It is important that a special focus is given to real-world applications in order to synergize the research in EC/related techniques with real-world applications in both industry and academia, which, in turn, would also benefit the research in algorithmic development.

The aim of this workshop is to act as a medium for debate, for exchanging knowledge and experience, and to encourage collaboration between researchers and practitioners from a range of disciplines to discuss the recent challenges and applications of EC/related techniques for solving real-world continuous and mixed-integer optimization problems. The workshop will feature: (1) an invited talk from a researcher/practitioner with a successful track record on applications of EC for solving continuous/mixed integer problems, (2) presentation of submission-based papers, and (3) discussion with the speakers and audience on present and future challenges. The workshop encourages submissions from various disciplines to stimulate multidisciplinary research discussion.

We invite the submission of original, full papers up to 8 pages to be orally presented at the workshop. Position papers up to 2 pages that present exploratory topics with preliminary results are also welcome. Contributions regarding the algorithmic development of EC/related techniques for continuous/mixed integer optimization with real-world applications in mind are highly welcomed; for example, how the need for solving real-world applications affects and contributes to the process of algorithmic development and design. Implementation aspects and applications on a specific discipline are also highly welcome. It is expected that submissions with a focus on application should also include aspects and knowledge that could be transferred to general audiences. We welcome submissions from diverse fields of study and background (e.g. engineering, computer science, science) in order to encourage multidisciplinary discussion during the workshop.

Within the context of continuous and mixed-integer optimization, the topics for the paper submission include (but are not limited to):

Real-world applications in a specific field either in academia or industry.
Algorithmic development for solving real-world applications.
Design exploration, data mining, machine learning and their synergy with EC/related techniques.
Applications of multi- and many-objective EC/related techniques in real-world problems.
Use of surrogate models and Bayesian optimization for solving real-world problems.
Real-world optimization/design under the presence of uncertainties.
Known issues and challenges in real-world implementations and how to tackle them.

Important dates (STRICT)

Submission opening: February 27, 2019
Submission deadline: April 3, 2019
Notification of acceptance: April 17, 2019
Camera-ready material: April 24, 2019
Author registration deadline: April 24, 2019
Workshop at GECCO 2019: July 13–17, 2019

Submission guidelines

The acceptance of the submitted papers will be based on double-blind peer review. Papers should be submitted in PDF and follow the GECCO paper format according to the ACM guidelines. All accepted submissions (including full and position papers) will be presented at the workshop (20 minutes) and published in GECCO 2019 companion proceedings. Submissions should be submitted via GECCO 2019 submission site.

Workshop organizers
Akira Oyama (Japan Aerospace Exploration Agency, University of Tokyo)
Koji Shimoyama (Tohoku University)
Hemant Kumar Singh (University of New-South Wales)
Kazuhisa Chiba (University of Electro-Communications)
Pramudita Satria Palar (Bandung Institute of Technology)

GECCO is sponsored by the Association for Computing Machinery Special
Interest Group on Genetic and Evolutionary Computation (SIGEVO)

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