NEO 2016: Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Citie

Part I: Smart Cities.- Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Traffic.- Augmenting the LSA Technique to Evaluate Ubicomp Environments.- Mixed Integer Programming Formulation for the Energy-Efficient Train Timetables Problem.- Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview.- Part II: Search, Optimization and Hybrid Algorithms.- Integer Programming Models and Heuristics for Non-Crossing Euclidean 3-Matchings.- A Multi-Objective Robust Ellipse Fitting Algorithm.- Gradient-Based Multiobjective Optimization with Uncertainties.- A New Local Search Heuristic for the Multidimensional Assignment Problem.- Part III: Electronics and Embedded Systems.- A Multi-Objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems.- Coefficients Estimation of MPM through LSE, ORLS and SLS for RF-PA Modeling and DPD.- Optimal Sizing of Amplifiers by Evolutionary Algorithms with Integer Encoding and gm/ID Design Method.- Index.