Focusing on complex non-standard packing challenges in space engineering, this book presents research aimed at optimizing cargo loading and arrangement. It addresses stringent compliance rules and incorporates intricate geometrical considerations, along with balancing conditions essential for attitude control. The work provides valuable insights into the efficient management of cargo in space missions.
This volume presents a selection of case studies that address a substantial range of optimized object packings (OOP) and their applications. The contributing authors are well-recognized researchers and practitioners. The mathematical modelling and numerical solution aspects of each application case study are presented in sufficient detail. A broad range of OOP problems are discussed: these include various specific and non-standard container loading and object packing problems, as well as the stowing of hazardous and other materials on container ships, data centre resource management, automotive engineering design, space station logistic support, cutting and packing problems with placement constraints, the optimal design of LED street lighting, robust sensor deployment strategies, spatial scheduling problems, and graph coloring models and metaheuristics for packing applications. Novel points of view related to model development and to computational nonlinear, global, mixed integer optimization and heuristic strategies are also discussed. Optimized Packings with Applications will benefit researchers and practitioners working on a broad range of topical engineering and operations research applications. Academics, graduate and post-graduate students in the fields of engineering, applied mathematics, operations research and optimization will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges
This book offers a selection of advanced case studies addressing a wide array of real-world challenges in space engineering. It delves into vital mathematical modeling, optimization methodologies, and numerical solutions for each application, discussing advanced model development and solution techniques. Key topics include: Advanced Space Vehicle Design, Optimal Low Thrust Transfers, Indirect Optimization of Spacecraft Trajectories, Resource-Constrained Scheduling, Packing Problems in Space, Complex Interplanetary Trajectories, Satellite Constellation Image Acquisition, Re-entry Test Vehicle Configuration, Collision Risk Assessment on Perturbed Orbits, Optimal Robust Design of Hybrid Rocket Engines, Nonlinear Regression Analysis, Regression-Based Sensitivity Analysis, Low-Thrust Multi-Revolution Orbit Transfers, Balance Layout Problems, Pilot-Induced Oscillations Alleviation, Hybrid Transfers to Near-Earth Objects, and Probabilistic Safety Analysis of Satellite-Collision Risks. The contributing authors are experts in space engineering and applied optimization. This book serves as a practical resource for researchers and practitioners in space engineering, as well as academics and students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control.
