[Opt-Net] Call for papers - Special issue of IEEE Transactions on Evolutionary Computation

[Miettinen, Kaisa]

Dear Colleagues,

Please, find below the call for papers of the special issue on Evolutionary Many-Objective Optimization of the journal IEEE Transactions on Evolutionary Computation. The deadline for submissions is March 15, 2016. Please, kindly forward this call for papers to colleagues who may be interested in this special issue. We warmly welcome high-quality manuscripts that are relevant to the topic of the special issue.

On behalf of guest editors,
with best regards, Kaisa Miettinen

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IEEE Transactions on Evolutionary Computation, Special Issue on Evolutionary Many-Objective Optimization

I. AIM AND SCOPE
Over the past two decades, evolutionary algorithms have successfully been applied to single- and multi-objective optimization problems having up to three objectives. Compared to traditional mathematical programming techniques, evolutionary multi-objective algorithms (MOEAs) are particularly powerful in achieving multiple Pareto optimal solutions in one single run. However, the performance of most existing algorithms seriously degrades when the number of objectives is larger than three. Such optimization problems, often referred to as many-objective optimization problems (MaOPs) in the evolutionary community, are widely seen in the real-world and therefore it is of great practical importance to efficiently solve them. Challenges to evolutionary algorithms and other meta-heuristics in solving MaOPs include the inability of dominance based MOEAs to converge to the Pareto frontier while maintaining good diversity, the prohibitively high computational complexity for MOEAs based on performance indicators, and the difficulty for human users or decision makers to clearly understand the relationship between objectives and articulate preferences. In addition, existing performance indicators for multi-objective optimization may become incapable of accurately assessing and comparing the quality of solution sets. Finally, visualization of the solutions of MaOPs also becomes a grand challenge.

II. THEMES
This special issue aims to discuss the philosophical changes needed in tackling MaOPs using evolutionary algorithms and in evaluating the quality of the solution sets they achieved. It will present most recent advances in theory, algorithm development and applications of evolutionary algorithms for MaOPs. Topics of the special issue include, but are not limited to

Ÿ Effective and efficient selection criterions for MaOPs; Ÿ Efficient reproduction operators dedicated to MaOPs; Ÿ Preference articulation and modeling; Ÿ Preference-based methods; Ÿ Performance indicators of EAs for MaOPs; Ÿ Test problems involving more than three objectives; Ÿ Visualization techniques for many-objective optimization; Ÿ Theoretical analysis of convergence and scalability of EAs for MaOPs; Ÿ Real-world applications.

III. SUBMISSION
Manuscripts should be prepared according to the “Information for Authors” section of the journal found at http://ieee-cis.org/pubs/tec/authors/ and submissions should be done through the journal submission website:
http://mc.manuscriptcentral.com/tevc-ieee/, by selecting the Manuscript Type of “MaOP Special Issue Papers”
and clearly marking “MaOP Special Issue Paper” as comments to the Editor-in-Chief.
Submitted papers will be reviewed by at least three different expert reviewers. Submission of a manuscript implies that it is the authors’ original unpublished work and is not being submitted for possible publication elsewhere.

IV. IMPORTANT DATES
Submission deadline: March 15, 2016
Author notification: June 15, 2016
Revision: August 15, 2016
Final version: September 15, 2016
For further information, please contact one of the following Guest Editors.

V. GUEST EDITORS
Prof. Yaochu Jin
Department of Computer Science
University of Surrey
United Kingdom
yaochu.jin at surrey.ac.uk

Prof. Kaisa Miettinen
Department of Mathematical Information Technology University of Jyväskylä Finland kaisa.miettinen at jyu.fi

Prof. Hisao Ishibuchi
Department of Computer Science and Intelligent Systems, Osaka Prefecture University Japan hisaoi at cs.osakafu-u.ac.jp

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Professor Kaisa Miettinen, PhD
Industrial Optimization Group: http://www.mit.jyu.fi/optgroup/ Dept. of Mathematical Information Technology, P.O. Box 35 (Agora)
FI-40014 University of Jyvaskyla, Finland
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Vice-rector of the University of Jyvaskyla, https://www.jyu.fi/hallinto/rehtorit/miettinen
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tel. +358 50 3732247 (mob.)
fax: +358 14 2602771
email: kaisa.miettinen at jyu.fi
homepage: http://www.mit.jyu.fi/miettine and http://www.mit.jyu.fi/miettine/engl.html
* Immediate-Past-President of the International Society on MCDM: http://www.mcdmsociety.org/    
* My book: Nonlinear Multiobjective Optimization, Kluwer:  http://www.mit.jyu.fi/miettine/book/