Space Engineering

Giorgio Fasano is a researcher and practitioner at Thales Alenia Space, with three decades of experience in the field of optimization and space engineering applications. He holds a MSc degree in Mathematics, and he is a Fellow of the Institute of Mathematics and its Applications (IMA, UK), with the designations of Chartered Mathematician (IMA, UK) and Chartered Scientist (Science Council, UK). His interests include mathematical modelling, operations research, mixed integer programming, global optimization, and optimal control. He is the author of Solving Non-standard Packing Problems by Global Optimization and Heuristics (Springer, 2014), and a co-editor of Operations Research in Space and Air (Ciriani et al., Kluwer Academic Publishers, 2003), as well as co-editor with Pintér of two other volumes, see below. He also wrote a number of other publications related to optimization in space. János D. Pintér is a researcher and practitioner with over four decades of experience in the area of systems modeling, analytics, and optimization, with an emphasis on algorithm and software development for nonlinear optimization. He holds MSc, PhD and DSc degrees in Mathematics. He has authored and edited 10 books (so far) including the award-winning monograph Global Optimization in Action. He also wrote nearly 200 peer-reviewed journal articles, book chapters, and other research documents. Dr. Pintér is (or has been) a member and officer of professional organizations including CORS, EUROPT, HORS, INFORMS; and he serves / served on the editorial board of international professional journals including the Journal of Global Optimization. Dr. Pintér is the principal developer or co-developer of a range of nonlinear optimization software products. These products are used worldwide by researchers and practitioners in academia, and at business and research organizations. He also offers optimization courses (as well as a range of other university or professional training courses) on demand. For more information, please visit www.pinterconsulting.com.

Preface
Model Space Vehicle Design Taking into Account Multidisciplinary Couplings and Mixed Epistemic / Aleatory Uncertainties
Using Direct Transcription to Compute Optimal Low Thrust Transfers Between Libration Point Orbits
Practical Tentative Solutions for Indirect Optimization of Spacecraft Trajectories
Resource-constrained Scheduling with Non-constant Capacity and Non-regular Activities
Packing Problems in Space Solved by CPLEX: an Experimental Analysis
Designing Complex Interplanetary Trajectories for the Global Trajectory Optimization Competitions
Satellite Constellation Image Acquisition Problem: A Case Study
Re-entry Test Vehicle Configuration Selection and Analysis
Rigorous Global Optimization for Collision Risk Assessment on Perturbed Orbits
Optimal Robust Design of Hybrid Rocket Engines
Nonlinear Regression Analysis by Global Optimization: A Case Study in Space Engineering
Regression-based Sensitivity Analysis and Robust Design
Low-Thrust Multi-Revolution Orbit Transfers
Balance Layout Problems: Mathematical Modeling and Nonlinear Optimization
Pilot-induced-oscillations Alleviation through Anti-Windup Based Approach
Modeling and Optimization of Hybrid Transfers to NEOs
Probabilistic Safety Analysis of the Collision Between Space Debris and a Satellite with an Island Particle Algorithm
Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations.