Soft Computing Journal A Fusion of Foundations, Methodologies and Applications special
issue on Evolutionary Computing & Complex Systems The large-scale use and applicability of
evolutionary computing for complex real-life systems and applications determined
a need for ensuring solid theoretical grounds, providing sensitivity,
resilience or error propagation analysis results. The aim of this special issue is to build a bridge
between probabilities, statistics, set oriented numerics
and evolutionary computing, as to identify new common and challenging
research aspects useful for highly complex systems. Out of control stochastic
factors, uncertainty or error propagation, are all potential pathways for
hazardous conditions or catastrophic failures when dealing with complex
systems in financial markets, nuclear plants, surveillance and defense, etc.
Similarly, the handling of large quantities of data may require the use of
distributed environments where the probability of failure and the stability
of the algorithms may need in-depth study. Therefore, algorithms capable of
delivering robust solutions in the presence of erroneous or abnormal inputs,
resilient to failures or with performance guarantees, evolved to be of
crucial importance when applied to such systems. The special issue will primarily focus on the
solutions provided for highly complex systems by applied and theoretical evolutionary
computation that advance the research in the field. The topics of interest
include, but are not limited to: á performance guarantee factors for large scale / highly
multi-modal problems á performance guarantees measures for existing algorithms á highly complex systems optimization á robust methods for large scale, high dimensional problems á theoretical tools, components that ensure the robustness in
practice á mathematical objects and evolutionary programming á robust / fast estimation of mathematical quantities á particle methods, Markov Chain Monte Carlo methods á spatial complexity of methods and its implications in
practice á robustness of parallel and distributed evolutionary
optimization á self-tuning, self-adaptive techniques á particular issues (e.g. landscape analysis) á swarm intelligence á real-world applications Important
Dates
Notes for Prospective AuthorsSubmitted papers should not have been previously published nor be
currently under consideration for publication elsewhere. For any additional information please contact
Alexandru-Adrian TANTAR or Emilia TANTAR.
A guide for authors, aims and scope of the Soft Computing Journal and other relevant information
for submitting papers are available online at the following address: http://www.springer.com/engineering/computational+intelligence+and+complexity/journal/500 Manuscripts have to be
submitted online via http://soco.edmgr.com. |
|
ISSN: 1432-7643 / 1433-7479 Guest Editors Alexandru-Adrian Tantar alexandru.tantar@uni.lu University of Luxembourg Luxembourg Emilia Tantar emilia.tantar@uni.lu University of Luxembourg Luxembourg Pascal Bouvry pascal.bouvry@uni.lu University of Luxembourg Head of CSC Research Unit Luxembourg Oliver SchŸtze schuetze@cs.cinvestav.mx CINVESTAV-IPN Mexico City, Mexico Carlos Coello Coello ccoello@cs.cinvestav.mx CINVESTAV-IPN Head of Computer Science Department Mexico City, Mexico Pierre Del Moral pierre.del_moral@inria.fr INRIA Bordeaux-Sud Ouest UniversitŽ Bordeaux I Head of ALEA Team France Editor-in-Chief Antonio Di Nola E-mail:
adinola@unisa.it Universit‡ di Salerno Salerno,
Italy Co-Editor-in-Chief Vincenzo Loia E-mail: loia@unisa.it Universit‡ di Salerno Salerno, Italy |
||||||||||||||
| A PDF version of this call is available at: Evolutionary Computing & Complex Systems (PDF). | ||||||||||||||||
