Call for Papers

Full Length Papers for the both Presentation and Publication or Abstracts for only presentation are being invited for the International Conference on Computational Modelling, Simulation and Optimization (ICCMSO-2020) within the scope of the conference. All contributions must be original and should not have been published or submitted elsewhere.
• Abstracts not more than 500 words (for presentation only): The submissions must give a clear indication of the objectives, scope, and results (if available) of the research. No figures or tables are allowed
• Full Length Papers limited to 8 pages ( for both presentation and publication) : The submissions are more descriptive of the work that has been done which includes an Abstract, an introduction, a results/discussion section including Tables/ images/ graphs and a reference section.
The conference discussion may include the application /implementation/Problems related to the Computational methods, Simulation and Optimization in the following and the related areas but not limited to:
• Multi-objective and robust optimization
• Optimization in dynamic and/or noisy environments
• Optimization on graphs
• Large-scale optimization, in parallel and distributed computational environments
• Meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods
• Exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods
• Numerical and heuristic methods for modeling
• Classical operational research problems (knapsack, traveling salesman, etc)
• Computational biology and distance geometry
• Data mining and knowledge discovery
• Human motion simulations; crowd simulations
• Industrial applications
• Optimization in statistics, econometrics, finance, physics, chemistry, biology, medicine, and engineering
• Environment modeling and optimization
• Scientific Computing
• Combinatorial and continuous global optimization
• Problem Solving Environments
• Unconstrained and constrained optimization
• Advanced Numerical Algorithms
• Complex Systems: Modeling and Simulation
• Hybrid Computational Methods
• Web- and Grid-based Simulation and Computing
• Parallel and Distributed Computing
• Advanced Computing Architectures and New Programming Models
• Visualization and Virtual Reality as Applied to Computational Science
• Applications of Computation as a Scientific Paradigm
• New Algorithmic Approaches to Computational Kernels and Applications
• Computational Humanities
• Education in Computational Science
• Large Scale Scientific Instruments
• Computational Sociology
• Medical and Biomedical Computational Science