CONFERENCE INTRODUCTION
2020 3rd International Conference on Applied Mathematics, Modeling and Simulation (AMMS2020) which will be held in Shanghai, China during September 20-21, 2020. The conference welcomes theoretically grounded, methodologically sound research papers from academia and industry that address variety of aspects and innovations related to Applied Mathematics, Modeling and Simulation.

It is one of the international conferences for presenting novel and fundamental advances in the concerned fields. We will provide an excellent International forum for sharing knowledge and results in theory, methodology and applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

SUBMISSION
Authors are solicited to contribute to the conference by submitting papers that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Applied Mathematics, Modeling and Simulation. Paper proposals should specifies and motivates the research question, describes the methods and data used, and gives an indication of the findings. Submissions will be reviewed and evaluated on the basis of originality, importance of contribution, soundness, evaluation, quality of presentation and appropriate comparison to related work.

1. Your paper format should in according with the template.
2. Your papers must have been neither previously accepted for publication nor concurrently submitted for review in another journal, book, or workshop.
3. Plagiarism in any form is not allowed.
4. You should submit your papers with the submission form to submit@amms2020.org or amms2020@sina.com. If there is any question, please contact www.amms2020.org.

CALL FOR PAPERS
You can choose topics from the below, but not limited to:

Mathematics
Analysis
Algebra
Algorithm
Applied Mathematics
Computational Mathematics
Control Theory and Automation
Data Mining and Soft Computing
Geometry
Mathematical Chemistry and Biology
Optimization and Operational Research
Rough Set and Soft Set Theory
Statistics
Theoretical Computer Science
Optimization Methods
Linear and Nonlinear Optimization
Global Optimization
Semi-definite Optimization
Semi-infinite Optimization
Multi-objective Optimization
Stochastic Optimization
Derivative-free Optimization
Network Optimization
Scheduling Problems
Optimal Control
Inverse Problems
Automatic Differentiation
Optimization Software
Computing Methods and Advanced Computing
Pervasive Computing
Green Computing
Grid Computing
Soft Computing
Cloud Computing
Cyber Security
SOA
Data Mining
Semantic Web
DNA Computing
Gaming Models
Bio-Metrics
Nano Computing