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ISSN: 2090-4908
International Journal of Swarm Intelligence and Evolutionary Computation
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Journal of Swarm Intelligence and Evolutionary Computation

Satyanarayana S*

Department of Computer Science, Kerala University, India

Corresponding Author:
Satyanarayana S
Department of Computer Science
Kerala University, India
Tel: 0866-2577715
E-mail: [email protected]

Received date: January 28, 2014; Accepted date: January 29, 2014; Published date: February 10, 2014

Citation: Satyanarayana S (2014) Journal of Swarm Intelligence and Evolutionary Computation (SIEC). Int J Swarm Intel Evol Comput 3:107. doi:

Copyright: © 2014 Satyanarayana S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Editorial

The Journal of Swarm Intelligence and Evolutionary Computation (SIEC) is a refereed all Engineering, Computer science and Engineering journal devoted to publication of original research papers, research notes, and review articles, with emphasis on unsolved problems and open questions in all Engineering & Computer science and Engineering.

To tackle complex real world problems, scientists have been looking into natural processes and creatures-both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems.

The SIEC is an international research journal, which publishes toplevel work on computational aspects of Artificial Intelligence; Robotics; Modeling & Analysis of swarm particle optimization; Swarm Intelligence; Evolutionary programming & Evolutionary strategies; Genetic Algorithm & Genetic Programming; Ant colony Optimization; Bacterial Forging; Artificial Life & Digital Organisms; Bioinformatics; Evolutionary Computation; Artificial Immune System; Computing; Nano computing; Computational intelligence, etc.

SIEC Journal publishes research articles and reviews within the whole field of Engineering & Computer Science and Engineering, and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The Journal may occasionally publish special issues on various topics in the areas of Engineering &Computer science and Engineering, book reviews, conference reports, letters to the honorary editors, conference announcements, etc.

Finally, Dr. S. Satyanarayana wishes to congratulate the authors of the published papers in SIEC. Thanks are due to the members of the Editorial Board for their precious feedback and advice. We hope that the new Journal of Swarm Intelligence and Evolutionary Computation (SIEC) will serve All Engineering & Computer science engineering research community as well as and this journal will be main media of presenting ideas and research work in their area. Suggestions to improve our efforts in order to deliver a better journal to the authors, readers and subscribers of this journal will always be appreciated.

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