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Subject:

Extended deadline for Special Session on Hybrid Metaheuristics for Dynamic and Uncertain Environments - HM2016: 15th Feb 2016

From:

"Antonio D. Masegosa" <[log in to unmask]>

Reply-To:

Antonio D. Masegosa

Date:

Mon, 1 Feb 2016 14:08:10 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (107 lines)

** Apologies for cross-posting **
** Please forward to anybody who might be interested. **


**** EXTENDED deadline for special sessions at HM2016: 15th February 
2016 ****

Special Session on Hybrid Metaheuristics for Dynamic and Uncertain 
Environments

HM 2016 - 10th International Workshop on Hybrid Metaheuristics

June 8-10, 2016 - Plymouth, United Kingdom

http://www.dmi.unict.it/hm2016/special-sessions.html
http://www.dmi.unict.it/hm2016/


**AIMS AND SCOPE**

Many of the optimization problems we found in real world present some 
sort of dynamism or uncertainty in one or more of their components: 
objective function, dimension, constraints or variables’ domain. This 
type of problems has attracted the attention of the scientific community 
in recent years because their resolution entails big challenges for 
classic optimization methods. The combination of the strengths of 
different metaheuristics or the combination of metaheuristics and 
techniques from others domains (machine learning, classical artificial 
intelligence, fuzzy set theory, or probability theory) have shown to be 
one of the most successful tools to address these challenges. This 
special session aims at gathering the recent theoretical and practical 
advances, as well as exploring future directions in the field of hybrid 
metaheuristics for dynamic and uncertain environments.

The topics of the special session include both theoretical and 
experimental aspects of the application of hybrid metaheuristics to (but 
not restricted to):

     - Single and multi-objective dynamic optimization problems
     - Robust optimization
     - Noisy fitness functions
     - Approximate or imprecise fitness functions
     - Dynamic constrained optimization problems
     - Real-world problems with noise and/or dynamism
     - Surrogate-models for dynamic and uncertain environments
     - Theoretical results for problems with uncertainty and dynamism


**SUBMISSIONS**

HM 2016 includes two different types of submission:

1) *regular paper*: 15 pages maximum length in Springer LNCS format, 
including figures, table & references, and should report on new and 
unpublished work;

2) *abstract for oral/poster presentation* (no page restriction; any 
format): it should discuss work in progress; new research ideas; works 
previously published elsewhere (it is essential that a reference to the 
previous article is clearly cited); and all that may be relevant and 
fruitful for soliciting discussions at the workshop.


**PROCEEDINGS**

All accepted *regular* papers will be published in a volume of the 
series on Lecture Notes in Computer Science from Springer.

Electronic submissions should be formatted in pdf.

All the other kind of submissions (short papers, abstract of the oral 
presentations, poster presentations) will be published on the HM 2016 
web site.


**SUBMISSION SYSTEM**

All papers must be submitted in PDF using EasyChair Submission System. 
The link to submit papers is the following: 
https://easychair.org/conferences/?conf=hm2016.


**JOURNAL SPECIAL ISSUE**

Significantly extended versions of selected papers from the LNCS 
proceedings of HM 2016 will be considered for a special issue in Soft 
Computing (confirmed).


**IMPORTANT DATES**

     - Paper submission deadline for general session: February 5th, 2016
     - Paper submission deadline for special sessions: February 15th, 2016
     - Notification: March 20th, 2016
     - Camera-ready papers deadline: April 4th, 2016
     - Early registration: April 15th, 2016
     - Workshop: June 8-10, 2016


**ORGANIZERS**

- Amir Nakib, UPEC, Université Paris Est Créteil, France, e-mail: 
[log in to unmask]
- Antonio D. Masegosa, University of Deusto/IKERBASQUE, Spain, e-mail: 
[log in to unmask]
- Mario Pavone, University of Catania, Italy, e-mail: [log in to unmask]

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