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Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties. The book provides approaches to integrating a multitude of components and constraints with the ultimate goal of reducing design cycles. Insights on a vast assortment of problems are provided, including discipline modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range of topics covered include areas of current open research. This Work is destined to become a fundamental reference for aerospace systems engineers, researchers, as well as for practitioners and engineers working in areas of optimization and uncertainty. Part I is largely comprised of fundamentals. Part II presents methodologies for single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related issues: the multifidelity, the multi-objective optimization and the mixed continuous/discrete optimization and Part V is devoted to test cases for aerospace vehicle design.

Aerospace engineering. --- Aeronautical engineering --- Aeronautics --- Astronautics --- Engineering --- Mathematical optimization. --- Astronautics. --- System theory. --- Numerical analysis. --- Algorithms. --- Optimization. --- Aerospace Technology and Astronautics. --- Systems Theory, Control. --- Numerical Analysis. --- Algorism --- Algebra --- Arithmetic --- Mathematical analysis --- Systems, Theory of --- Systems science --- Science --- Space sciences --- Astrodynamics --- Space flight --- Space vehicles --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Foundations --- Philosophy --- Optimització matemàtica --- Enginyeria aeroespacial --- Astronàutica --- Sistemes, Teoria de --- Anàlisi numèrica --- Algorismes --- Algoritmes --- Euclides, Algorisme d' --- Àlgebra --- Aritmètica --- Mètodes numèrics --- Anàlisi matemàtica --- Sistemes, Teoria dels --- Teoria de sistemes --- Teoria general de sistemes --- TGS --- Ciència --- Aeronàutica --- Astrodinàmica --- Ciències de l'espai --- Vehicles espacials --- Vol espacial --- Enginyeria aeronàutica --- Enginyeria --- Optimització, Teoria de l' --- Optimització (Matemàtica) --- Sistemes d'optimització --- Teoria de l'optimització --- Anàlisi de sistemes --- Simulació, Mètodes de --- Fonaments --- Filosofia --- Computers --- Cybernetics. --- Programming --- Cybernetics & systems theory. --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Control theory --- Electronics --- System theory --- Mechanical brains

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The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular. Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.

Operational research. Game theory --- Mathematical statistics --- Mathematics --- Planning (firm) --- Computer science --- Computer. Automation --- computers --- informatica --- mathematische modellen --- speltheorie --- econometrie --- wiskunde --- operationeel onderzoek --- computerkunde --- Operations research. --- Decision making. --- Management science. --- Computer science—Mathematics. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Math Applications in Computer Science. --- Optimització matemàtica. --- Investigació operativa. --- Optimització matemàtica --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Investigació --- Assignació de recursos --- Mètodes de simulació --- Programació (Matemàtica) --- Teoria de cues --- Enginyeria de sistemes --- Jocs d'estratègia (Matemàtica) --- Optimització combinatòria --- Programació dinàmica --- Anàlisi de sistemes --- Anàlisi operacional --- Investigació operacional --- Ciències de la gestió --- Enginyeria industrial --- Sistemes, Teoria de --- Optimització, Teoria de l' --- Optimització (Matemàtica) --- Sistemes d'optimització --- Teoria de l'optimització --- Anàlisi matemàtica --- Simulació, Mètodes de --- Decision making --- Operations Research and Decision Theory. --- Operations Research, Management Science . --- Mathematical Applications in Computer Science. --- Mathematics. --- Computer mathematics --- Electronic data processing