ANTS: Ant Colony Optimization and Swarm Intelligence

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2019 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ANTS 2018 International Conference on Swarm Intelligence
Oct 29, 2018 - Oct 31, 2018 Rome Apr 22, 2018
ANTS 2016 Tenth International Conference on Swarm Intelligence
Sep 7, 2016 - Sep 9, 2016 Brussels, Belgium Mar 14, 2016
ANTS 2014 Ninth International Conference on Swarm Intelligence
Sep 10, 2014 - Sep 12, 2014 Brussels, Belgium Mar 2, 2014
ANTS 2010 Seventh International Conference on Swarm Intelligence
Sep 8, 2010 - Sep 10, 2010 Brussels, Belgium Mar 7, 2010
ANTS 2008 Sixth International Conference on Ant Colony Optimization and Swarm Intelligence
Sep 22, 2008 - Sep 24, 2008 Brussels, Belgium Mar 16, 2008
 
 

Present CFP : 2018

Scope of the Conference

Swarm intelligence is the discipline that deals with the study of self-organizing
processes both in nature and in artificial systems. Researchers in ethology and
animal behavior have proposed a number of models to explain interesting aspects
of collective behaviors such as movement coordination, shape-formation or decision
making. Recently, algorithms and methods inspired by these models have
been proposed to solve difficult problems in many domains. Among these, it is
worth mentioning ant colony optimization (ACO) and particle swarm optimization
(PSO), focusing respectively on discrete and continuous optimisation
problems. Also, Swarm robotics represents another application of techniques derived
from swarm intelligence for the design of collaborative multi-robot systems
featuring enhanced efficiency, robustness and scalability.
ANTS 2018 will give researchers in swarm intelligence the opportunity to meet,
to present their latest research, and to discuss current developments and applications.
The three-day conference will be held in for the first time in Rome, Italy, on
October 29–31, 2018.


Relevant Research Areas

ANTS 2018 solicits contributions dealing with any aspect of swarm intelligence.
Typical, but not exclusive, topics of interest are:
• Behavioral models of social insects or other animal societies that can stimulate
new algorithmic approaches.
• Theoretical and empirical and research in swarm intelligence.
• Application of swarm intelligence methods (e.g., ant colony optimisation or
particle swarm optimisation) to real-world problems.
• Theoretical and experimental research in swarm robotics systems.
Important Dates
 

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