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Solving non-standard packing problems by global optimization and heuristics /

This book results from a long-term research effort aimed at tackling complex non-standard packing issues which arise in space engineering. The main research objective is to optimize cargo loading and arrangement, in compliance with a set of stringent rules. Complicated geometrical aspects are also t...

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Bibliographic Details
Main Author: Fasano, Giorgio, (Author)
Corporate Author: SpringerLink (Online service)
Format: Online Book
Language:English
Published: Cham : Springer, 2014.
Series:SpringerBriefs in optimization,
Subjects:
Online Access:Online version
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100 1 |a Fasano, Giorgio,  |e author. 
245 1 0 |a Solving non-standard packing problems by global optimization and heuristics /  |c Giorgio Fasano. 
264 1 |a Cham :  |b Springer,  |c 2014. 
300 |a 1 online resource (xiv, 135 pages) :  |b color illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in Optimization,  |x 2190-8354 
505 0 |a 1. Non-standard packing problems -- 2. Tetris-like items -- 3. Model reformulations and tightening -- 4. Heuristic approaches for solving the tetris-like problem in practice -- 5. Computational experience and real world context -- 6. Extensions and mixed-integer non-linear approaches for further applications -- 7. Directions for future research -- Appendix -- Case Studies. 
504 |a Includes bibliographical references and index. 
520 |a This book results from a long-term research effort aimed at tackling complex non-standard packing issues which arise in space engineering. The main research objective is to optimize cargo loading and arrangement, in compliance with a set of stringent rules. Complicated geometrical aspects are also taken into account, in addition to balancing conditions based on attitude control specifications. Chapter 1 introduces the class of non-standard packing problems studied. Chapter 2 gives a detailed explanation of a general model for the orthogonal packing of tetris-like items in a convex domain. A number of additional conditions are looked at in depth, including the prefixed orientation of subsets of items, the presence of unusable holes, separation planes and structural elements, relative distance bounds as well as static and dynamic balancing requirements. The relative feasibility sub-problem which is a special case that does not have an optimization criterion is discussed in Chapter 3. This setting can be exploited by introducing an ad hoc objective function, aimed at facilitating the finding of integer-feasible solutions. The third chapter also discusses the issue of tightening the general MIP model by introducing valid inequalities. A MIP-based heuristic approach is developed in Chapter 4, where the basic concept of abstract configuration is presented. Chapter 5 is devoted to experimental results relevant to a real-world application framework. Chapter 6 adopts both extensions of the general MIP model and non-linear formulations to tackle two further non-standard packing issues. The final Chapter 7 presents conclusions and provides insights regarding prospective developments (including non-standard scheduling aspects). Practitioners and researchers interested in advanced optimization model development and solution in the context of logistics, transportation systems, complex structures, manufacturing and electronics will find this book useful. The book can also be used in graduate courses on nonlinear - including global and mixed integer - optimization, as a valuable collection of practically meaningful object packing applications. 
588 |a Description based on online resource; title from PDF title page (SpringerLink, viewed April 29, 2014). 
506 |a Electronic access restricted to Villanova University patrons. 
650 0 |a Calculus of variations. 
650 0 |a Mathematical optimization. 
650 1 4 |a Mathematics. 
650 2 4 |a Calculus of Variations and Optimal Control; Optimization. 
650 2 4 |a Complex Systems. 
650 2 4 |a Mathematical Modeling and Industrial Mathematics. 
650 2 4 |a Visualization. 
650 7 |a MATHEMATICS / Calculus  |2 bisacsh 
650 7 |a MATHEMATICS / Mathematical Analysis  |2 bisacsh 
655 4 |a Electronic books. 
710 2 |a SpringerLink (Online service) 
830 0 |a SpringerBriefs in optimization,  |x 2190-8354 
856 4 0 |z Online version  |u http://ezproxy.villanova.edu/login?URL=http://dx.doi.org/10.1007/978-3-319-05005-8 
994 |a 92  |b PVU 
852 0 |b WWW  |h QA315