Ant colony optimization Self-organization and Intelligence
The group behavior of social creatures has always been a source of inspiration for computer scientists. Collaborative nature of group members exhibits an intelligent behavior which usually, cannot be obtained by any single individual of the group. This intelligent behavior commonly, known as swarm intelligence is implemented by computer scientists in the form of computational algorithms. Ant colony optimization (ACO), particle swarm optimization (PSO), artificial bee colony (ABC), glow worm swarm optimization (GSO), firefly algorithm (FA) and bacterial foraging optimisation (BFO) are some such computational algorithms and are called as swarm intelligent algorithms.
Swarm intelligent algorithms are probabilistic in nature and are applied to those problems for which a near optimal solution is acceptable in a reasonable time instead of a true optimal solution. Due to this, swarm intelligence has become very popular and useful in last 9 years. Journal of Swarm Intelligence and Evolutionary Computation (SIEC) is a peer reviewed journal devoted to the publication of recent and significant research in the field of swarm intelligence. SIEC considers both theoretical development and application related papeors. Articles in the first issue of SIEC are selected after several rounds of meticulous review process.
On behalf of all the editorial board members, I would like to thank all researchers in the field of swarm intelligence who accepted our invitation to submit their scholarly work for the inaugural issue of SIEC. I am thankful to all the editors and the reviewers who supported the journal with their valuable suggestions. I am special thankful to Prof. Qiangfu Zha (Executive Editor of SIEC) for her continuous support to Journal of Swarm Intelligence and Evolutionary. I express my sincere thanks to the science Publishers who provided me the opportunity to edit an international journal with such a reputed publisher. The latest issue of SIEC article.
The latest paper, an application of swarm intelligence for the design of Robotics and Health and Safety at Work by Jesús R. Mercader Uguina , Ana B. Muñoz Ruiz presents The paper provides an analysis of the main changes due to robotic disruption in the workplace. In particular, the article focuses on the health and safety at worktaking account the EU regulatory framework as well as the international technical safety standards.
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The journal invites different types of articles including original research article, review articles, short note communications, case reports, Editorials, letters to the Editors and expert opinions & commentaries from different regions for publication.
A standard editorial manager system is utilized for manuscript submission, review, editorial processing and tracking which can be securely accessed by the authors, reviewers and editors for monitoring and tracking the article processing. Manuscripts can be uploaded online at Editorial Tracking System (https://www.longdom.org/editorial-tracking/publisher.php) or forwarded to the Editorial Office at https://www.longdom.org/eye-diseases-and-disorders.html
The Journals includes around 150Abstracts and 100 Keynote speakers have given their valuable words. The meet has provided a great scope for interaction of professionals including in addition to clinical experts and top-level pathologists and scientists from around the globe, on a single platform.
International journal of swarm intelligence and evolutionary computation