Journal of the Operations Research Society of China
Call for Papers for Special Issue on Optimization Models and Algorithms in Artificial Intelligence
The Journal of the Operations Research Society of China, an EI and ESCI indexed journal, is pleased to announce a call for papers for the special issue on optimization and algorithms in artificial intelligence.
Scope: Artificial Intelligence (AI) and its applications are the hottest topic in recent years, while the optimization architecture is one of its key contents. In fact, the typical AI model is always represented by minimizing or maximizing a certain objective/energy function. Therefore, an optimization model with a fast and robust algorithm is meaningful for AI researches.
Under such circumstances, the aim of this special issue is to solicit the state-of-the-art models and algorithms for AI, especially for machine learning, which is benefit for some interesting applications in image processing and analysis, computer-aided diagnosing, autonomous robot, intelligent manufacture, traffic flow, social network analysis, etc. The issue will also provide a convincing forum for researchers and practitioners to disseminate their latest research results.
The special issue seeks for original contribution of works which addresses the challenges from the optimization models and algorithms for AI as well as some interesting applications, such as medical image analysis, autonomous robot, intelligent manufacture, traffic flow, social network analysis, and knowledge management, etc.
Specific topics include, but not limited to, the following:
l Continuous optimization models for machine learning
l Continuous optimization algorithms for machine learning
l Discrete optimization for machine learning
l Complexity analysis for machine learning algorithms
l Theoretical issues and applications related to big data and deep learning
l Applications in image processing and analysis, computer-aided diagnosing, autonomous robot, intelligent manufacture, traffic flow, social network analysis, and knowledge management, etc.
All submissions must be original and cannot be under review by another publication. A submission based on one or more papers that appeared elsewhere has to comprise major value-added extensions over what appeared previously (at least 30% new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal version.
Papers are welcomed to be submitted electronically via JORSC submission system, http://www.edmgr.com/jorc/ , by choosing “article type” and “Section/Category” as “S.I.: OM & Algorithms in Artificial Intelligence””. All accepted papers will be published online first on http://link.springer.com/journal/40305.
l Paper submission due: September 1, 2018
l First notification: December 1, 2018
l Revision: March, 2019
l Final decision: June 2019
l Publication date: September 2019 (Tentative)
Professor, Xi’an Jiaotong University, Xi’an, China
Associate Professor, Shanghai University, Shanghai, China
Associate Professor, The Chinese University of Hong Kong, Hong Kong, China