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DMOO 2018 : INISTA 2018: Special Session on Dynamic Multi-objective Optimization (DMOO 2018), Deadline Extended to March 15, 2018

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Link: http://inista.org/dmoo2018.html
 
When Jul 3, 2018 - Jul 5, 2018
Where Greece
Submission Deadline Mar 1, 2018
Categories    dynamic optimization   multi-objective optimization   evolutionary algorithms
 

Call For Papers

***Dynamic Multi-objective Optimization (DMOO 2018)***

Many real-world engineering optimization problems not only require the simultaneous optimization of a number of objective functions, but also need to track the changing optimal solutions. These problems are called: Dynamic multi-objective optimization (DMOO) problems. Here, where either the objective functions or the constraints change over time, an optimization algorithm should be able to find, and track the changing set of optimal solutions and approximate the time-varying true Pareto front. Therefore, the DMOO algorithm also has to deal with the problems of a lack of diversity and outdated memory.

The main goal of this special session is to emphasize the newest techniques in solving dynamic multi-objective optimization problems and handling the current issues. So the session aims at providing a forum for researchers in the area of DMOO to exchange new ideas and submit their original and unpublished work. Topics of interest include, but are not limited to:

• Theoretical analysis, convergence criterion, and complexity of DMOO algorithms
• Handling outlier detection, complex and deceiptive solutions, and constraints of DMOO
• Algorithms, benchmark functions, and performance measures of DMOO
• Dynamic many-objective optimization
• Uncertainty and noisy fitness functions in DMOO
• Hybrid algorithms of DMOO
• Real-world applications of DMOO (Biomedical engineering, Modeling, Big data, …)

Special Session Organizers
Prof. Mohammad Teshnehlab
Full Professor, Electrical Engineering Faculty,
K. N. Toosi University of Technology, Tehran, Iran
E-mail: teshnehlab@eetd.kntu.ac.ir

Dr. Hamid Beigy
Associate Professor, Department of Computer Engineering,
Sharif University of Technology, Tehran, Iran
E-mail: beigy@sharif.edu

Dr. Maysam Orouskhani
PhD of Artificial Intelligence,
Science and Research Branch of Islamic Azad University, Tehran, Iran
E-mail: maysam.orouskhani@srbiau.ac.ir

Program Committee (tentative)
Mohammad Teshnehlab, K. N. Toosi University of Technology
Hamid Beigy, Sharif University of Technology
Maysam Orouskhani, Science and Research Branch of Islamic Azad University
Ran Cheng, University of Birmingham,
Arrchana Murugananthama, National University of Singapore
Maxime Clement, Ichise Laboratory National Institute of Informatics
Yasin Orouskhani, Data Engineer at RAHNAMA Co
Renzhi Chen, University of Birmingham

Important dates
Submission of papers: 15 March 2018
Notification of acceptance: 15 April 2018
Camera-ready papers: 30 April 2018
Registration & payment: 15 May 2018
Conference date: 3-5 July 2018

All contributions should be original and not published elsewhere or intended to be published during the review period. Authors are invited to submit their papers electronically in pdf format, through EasyAcademia. All the special sessions are centralized as tracks in the same conference management system as the regular papers. Therefore, to submit a paper please go through the steps below and select the track: DMOO 2018: Special Session on Dynamic Multi-objective Optimization.

Accepted papers will appear in the conference proceedings, available on IEEE Xplore and submitted to be indexed in the Web of Science Core Collection databases.

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