[DMANET] Announcement: [Algorithms] Special Issue "Novel Meta-heuristic Approaches and their Application to Preemptive Operational Planning & Logistics in Disaster Management"

Dear Colleagues,

Prof. Dr. Miren Nekane Bilbao, Prof. Dr. Sancho Salcedo-Sanz , Dr. Javier
Del Ser Lorente and Dr. Sergio Gil-Lopez are serving as Guest Editors for a
Special Issue of the online open access journal, Algorithms (ISSN 1999-4893,
http://www.mdpi.com/journal/algorithms).
We would like to announce this opportunity for you to submit either a
research or review article.

Novel Meta-heuristic Approaches and their Application to Preemptive
Operational Planning & Logistics in Disaster Management
http://www.mdpi.com/si/algorithms/disaster-management

Dear Colleagues,

Let me introduce the Algorithms special issue entitled "Novel Meta-heuristic
Approaches and their Application to Preemptive Operational Planning &
Logistics in Disaster Management".
Nowadays there is a generalized ever-growing concern across institutions and
governments around the Globe with the increased frequency and scales of
wide-area disasters such as forest fires, earthquakes, tsunamis and
volcanos. No matter whether they are originated by purely natural or human
induced factors, the truth is that the need of more research on operational
logistics is widely deemed as critical so as to anticipatively reduce their
fatal consequences. In this context, despite the huge research efforts
conducted towards predictive risk assessing techniques focusing on the
aforementioned disaster events, there is a clear gap between such predictive
approaches and operational logistics which, upon their linkage, would bring
about preemptive operations planning and/or logistics, i.e.
logistics driven by a priori predictive information on the disaster
situation at hand.

Bearing this scope in mind, the special issue will gravitate on the use of
advanced meta-heuristic optimization approaches as means to properly
allocate human, technical and transport resources based on predictive
information on the locational severity of a disaster, its geographical
probability of occurrence, etc.
Beyond novel algorithmic developments, the special issue is open, however,
to contributions dealing with conventional meta-heuristic algorithms
(genetic, simulated annealing, PSO, etc) applied to innovative formulations
of operational planning paradigms over wide areas, with an emphasis on their
practicality. We hereby invite high quality papers presenting original
research on this exciting topic to this special issue.

Prof. Dr. Miren Nekane Bilbao
Prof. Dr. Sancho Salcedo-Sanz
Dr. Javier Del Ser Lorente
Dr. Sergio Gil-Lopez
Guest Editors

Keywords

* disaster management
* meta-heuristic optimisation
* predictive risk modelling
* forest fires
* earthquakes
* operational planning
* logistics


The deadline for submission is 1 December 2013, but you may send your
manuscript at any time before then. All submissions are peer-reviewed and
accepted papers will be published immediately.
If you plan to contribute, please send a short abstract to the Editorial
Office (algorithms@mdpi.com).

Algorithms is an open access journal, which has no income from selling
subscriptions. To defray the editorial and production costs, the journal
levies an Article Processing Charge (APC) for accepted papers.
Please refer to http://www.mdpi.com/journal/algorithms/apc/ for more
information. The charge currently is of 300 CHF (Swiss Francs) per accepted
paper.

We look forward to hearing from you.

On behalf of
Prof. Dr. Miren Nekane Bilbao, Prof. Dr. Sancho Salcedo-Sanz, Dr. Javier Del
Ser Lorente and Dr. Sergio Gil-Lopez

Best wishes,
Ms. Chelly Cheng
Managing Editor

---
Ms. Chelly Cheng
MDPI AG
Managing Editor
Algorithms Editorial Office
Postfach, CH - 4005 Basel, Switzerland
Office: Klybeckstrasse 64, 4057 Basel
Tel. +41 61 683 77 34 (office)
Fax. +41 61 302 89 18 (office)
E-mail: algorithms@mdpi.com
http://www.mdpi.com/journal/algorithms

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