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ICSIBO 2016 : International Conference on Swarm Intelligence Based Optimization


When Jun 13, 2016 - Jun 14, 2016
Where Mulhouse, France
Submission Deadline Feb 12, 2016
Notification Due Apr 15, 2016
Final Version Due May 15, 2016
Categories    optimization   metaheuristics   artificial intelligence   applications

Call For Papers

International Conference on Swarm Intelligence Based Optimization (ICSIBO)

Conference Dates: June 13-14, 2016, Mulhouse, France
Conference URL:

Post-proceedings published in a LNCS SPRINGER volume (indexed by EI, ISTP, DBLP, and ISI).

February 12, 2016: Submission of papers (see web site for instructions)
April 15, 2016: Notification of acceptance
May 15, 2016: Final papers and Registration
June 13-14, 2016: The International Conference on Swarm Intelligence Based Optimization (ICSIBO'2016)

The International Conference on Swarm Intelligence Based Optimization (ICSIBO'2016) is a continuation of conferences OEP'2003 (Paris), OEP'2007 (Paris), ICSI'2011 (Cergy-Pontoise) and ICSIBO'2014 (Mulhouse).

The aim of ICSIBO'2016 conference is to highlight the theoretical progress of swarm intelligence metaheuristics and their applications.

Swarm Intelligence is a computational intelligence technique involving the study of collective behavior in decentralized systems.
Such systems are made up of a population of simple individuals interacting locally with one another and with their environment.
Although there is generally no centralized control on the behavior of individuals, local interactions among individuals often cause a global pattern to emerge.
Examples of such systems can be found in nature, including ant colonies, animal herding, bacteria foraging, bee swarms, and many more. However, swarm intelligence computation and algorithms are not necessarily nature-inspired.

Topics of interest include but are not limited to:
- Theoretical advances of swarm intelligence metaheuristics
- Combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization
- Artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm
- Hybridization of algorithms
- Parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles
- Adaptation and applications of swarm intelligence principles to real world problems in various domains, including medicine, biology, chemistry, finance, insurance, economics, social sciences, transportation, tourism, education, defense, telecommunications, energy, management, information retrieval, software engineering, fraud detection, environment, remote-sensing, robots

Proposals for Special Sessions are welcome. Last date: February 12, 2016. If you are interested in organizing a special session in the conference, please contact, and

The organizers encourage scientists and industry leaders to organize dedicated panels dealing with controversial and challenging topics and paradigms.
Submissions of original and unpublished work related to swarm intelligence are invited, including, theory, development, and applications.
Areas of focus include particle swarm optimization, ant colony optimization, foraging techniques, and other swarm intelligence related topics.
Authors are invited to submit their original and unpublished work without any limitation to the above related subjects.
For more information, please contact, and

We welcome workshop proposals on complementary issues to the topics of this conference.
Your requests should be forwarded to, and

Selected papers will be published as a post-proceedings in Springer's Lecture Notes in Computer Science (indexed by EI, ISTP, DBLP, and ISI).

The conference chairs:

Lhassane Idoumghar, Associate Professor, University of Haute-Alsace
Julien Lepagnot, Associate Professor, University of Haute-Alsace
Patrick Siarry, Professor, University of Paris-Est Créteil

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