eprintid: 10609
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/06/09
datestamp: 2023-11-09 16:37:13
lastmod: 2023-11-09 16:37:13
status_changed: 2023-11-09 16:31:48
type: article
metadata_visibility: show
creators_name: Kose, U.
creators_name: Vasant, P.
title: A model of swarm intelligence based optimization framework adjustable according to problems
ispublished: pub
note: cited By 2; Conference of 1st International Conference on the Computer Science and Engineering, COMPSE 2016 ; Conference Date: 11 November 2016 Through 12 November 2016; Conference Code:252929
abstract: Swarm Intelligence has been a popular sub-field of Artificial Intelligence as including intelligent approaches, methods, and techniques for optimization problems. When the associated literature is examined, it can be seen that there are lots of different Swarm Intelligence techniques and researchers are still in an unstoppable interest in designing and developing newer ones. At this point, it is possible to imagine a general Swarm Intelligence system combining all developed techniques to enable researchers, who just want to solve their optimization problems with necessary features and functions. In this context, objective of this study is to introduce essentials of a modular framework, which is currently being developed for such purposes. The system introduced here consists of feature and function sets of different Swarm Intelligence techniques and employs an adaptive, adjustable infrastructure, which is also improved by additions of new techniques and results regarding to performed optimization tasks. © Springer International Publishing AG 2018.
date: 2018
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093209884&doi=10.1007%2f978-3-319-66984-7_2&partnerID=40&md5=236737439e8ec8e33e2a376a578cfcb6
id_number: 10.1007/978-3-319-66984-7₂
full_text_status: none
publication: Studies in Computational Intelligence
volume: 741
pagerange: 21-38
refereed: TRUE
isbn: 9783319669830
issn: 1860949X
citation:   Kose, U. and Vasant, P.  (2018) A model of swarm intelligence based optimization framework adjustable according to problems.  Studies in Computational Intelligence, 741.  pp. 21-38.  ISSN 1860949X