Special Issue "Recent Developments in Swarm Intelligence"
A special issue of Information (ISSN 2078-2489).
Deadline for manuscript submissions: closed (28 February 2014)
Prof. Dr. Christian Blum (Website)
IKERBASQUE Department of Computer Science and Artificial Intelligence University of the Basque Country Paseo Manuel Lardizabal 1 20018 San Sebastian, Spain
Interests: swarm intelligence; optimization; metaheuristics; hybrid algorithms
Swarm intelligence techniques are inspired by the collective behavior of individuals in decentralized, self-organized animal societies. Examples of such societies include ant colonies, flocks of birds, or fish schools. These societies are characterized by the constituent individuals’ relative lack of unsophistication. Nevertheless, in cooperation, these individuals are able to solve complex tasks. A prime example of this phenomenon is the ability of ants to find the shortest paths between their nest and food sources. The thriving force of task-solving is to be found in self-organization, which results from different forms of communication between the individuals. Especially important for swarm intelligence is indirect communication via changes applied to the environment (for example, by means of pheromone trails). This form of communication has been labeled “stigmergy”. Outstanding characteristics of swarm intelligence techniques include robustness and flexibility. Swarm intelligence techniques have been utilized by scientists in a multitude of applications, and particularly in optimization and the control of robots
The goal of this special issue is to provide the interested reader with a collection papers describing recent developments in swarm intelligence. Topics of interest include, but are not limited to:
* Swarm intelligence techniques in optimization, including:
+ Ant Colony Optimization
+ Particle Swarm Optimization
+ Bee Colony Optimization
+ Optimization algorithms inspired by the behavior of wasps, termites, fireflies
* Swarm intelligence applications to dynamic optimization problems
* Swarm intelligence techniques for multi-objective optimization
* Swarm intelligence techniques in control and robotics
* Swarm intelligence applied in decentralized settings
* Hybridization of swarm intelligence techniques with other methods
* Theoretical results
Prof. Dr. Christian Blum
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed Open Access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.
- swarm intelligence
- combinatorial optimization
- real-valued optimization
- distributed computing
- hybrid algorithms
- ant colony optimization
- particle swarm optimization
- bee colony optimization
- multi-objective optimization
- swarm robotics