Topics of interest in MOA 2016 include but not limited to the following:

  • Optimization in networks: this topic will cover recent advances in linear programming and mixed-integer programming techniques and their novel applications in solving problems from water/electricity/pipeline networks.

  • Optimization in information sciences: this topic will cover various recent optimization techniques and their applications in information sciences including machine learning, speech/image processing, wireless communications, information theory, estimation and detection theory, and so on.

  • Optimization in big data: this topic will address new challenges and opportunities in analyzing large scale data where sparse optimization, global optimization, and stochastic optimization play a crucial role.