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International Workshop on BioInspired Network Optimization - BI-OO-NET 2017

26 - 28 July, 2017 - Madrid, Spain

In conjunction with the 14th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2017


Vesna Sesum-Cavic
TU Vienna
Brief Bio
Vesna Sesum-Cavic is a Senior Scientist in the Space-Based Computing Group, Institute of Computer Languages, Vienna University of Technology, Austria and University Lecturer at University of Applied Sciences, Vienna (Informatics and Mathematics module) as well as University of Applied Sciences, Wiener Neustadt (Software Architecture and Data Science module). She does research in network optimization, p2p systems, swarm intelligence, theory and design of algorithms, combinatorial optimization, complex systems, self-organization, multi-agent systems.
Andrew Adamatzky
University of the West of England
United Kingdom
Brief Bio
Andrew I. Adamatzky is Professor in the Department of Computer Science and Director of the Unconventional Computing Centre, University of the West of England, Bristol, UK. He does research in reaction-diffusion computing, cellular automata, physarum computing, massive parallel computation, applied mathematics, collective intelligence and robotics, bionics, computational psychology, non-linear science, novel hardware, and future and emergent computation.
Xin-She Yang
Middlesex University
United Kingdom
Brief Bio
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. Now he is Reader in Modelling and Optimization at Middlesex University London and Adjunct Professor at Reykjavik University (Iceland). He is also an elected Bye Fellow at Cambridge University as well as the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management.


The workshop discusses mathematical and computational methods, techniques and models for P2P network optimisation (as well as applicative scenarios) using inspirations from nature. Nowadays highly dynamic distributed systems are highly complex, sensitive to perturbations, and often behave “unpredictably”. P2P networks are a very good example of highly decentralized and distributed systems.
A behaviour of the networks is optimised using information processing in living systems. Bio-inspired intelligence allows dynamic networks to deal with abrupt changes in load, capacity and environment by using self-organisation, adaptation, decentralised control, distributed decisions making, and parallel actuation. Bio-inspired metaheuristics are a key features in optimization and robustness of dynamic distributed systems with swarming autonomous agents.

- bio-inspired search and optimization algorithms for P2P networks
- bio-inspired design of P2P networks
- theoretical foundations of bio-inspired optimization of P2P networks
- application domains of bio-inspired optimization of P2P networks
- bio-inspired network flow/routing and transportation


Paper Submission: April 26, 2017 (expired)
Authors Notification: May 15, 2017 (expired)
Camera Ready and Registration: May 29, 2017 (expired)


Yong Deng, Xi'an Jiaotong University, China
Wilfried Elmenreich, University of Klagenfurt, Austria
Eva Kühn, Tu Wien, Austria
Tatjana Lutovac, University of Belgrade, Faculty of Electrical Engineering, Serbia
Sanaz Mostaghim, Otto-von-Guericke-Universität Magdeburg, Germany
Georgios Sirakoulis, Democritus University of Thrace, Greece
Christof Teuscher, Portland State University, United States
Milan Tuba, University of Belgrade, Serbia
Ivan Zelinka, VŠB-TUO, Czech Republic
Xiaoge Zhang, Vanderbilt University, United States

(list not yet complete)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in the workshop proceedings book, under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).


ICINCO Workshops - BI-OO-NET 2017
e-mail: icinco.secretariat@insticc.org