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This is the most sophisticated and up-to-date econometric analysis of business cycles now available. Francis Diebold and Glenn Rudebusch have long been acknowledged as leading experts on business cycles. And here they present a highly integrative collection of their most important essays on the subject, along with a detailed introduction that draws together the book's principal themes and findings. Diebold and Rudebusch use the latest quantitative methods to address five principal questions about the measurement, modeling, and forecasting of business cycles. They ask whether business cycles have become more moderate in the postwar period, concluding that recessions have, in fact, been shorter and shallower. They consider whether economic expansions and contractions tend to die of "old age." Contrary to popular wisdom, they find little evidence that expansions become more fragile the longer they last, although they do find that contractions are increasingly likely to end as they age. The authors discuss the defining characteristics of business cycles, focusing on how economic variables move together and on the timing of the slow alternation between expansions and contractions. They explore the difficulties of distinguishing between long-term trends in the economy and cyclical fluctuations. And they examine how business cycles can be forecast, looking in particular at how to predict turning points in cycles, rather than merely the level of future economic activity. They show here that the index of leading economic indicators is a poor predictor of future economic activity, and consider what we can learn from other indicators, such as financial variables. Throughout, the authors make use of a variety of advanced econometric techniques, including nonparametric analysis, fractional integration, and regime-switching models. Business Cycles is crucial reading for policymakers, bankers, and business executives.

Prevision commerciale --- Cycles economiques --- Business forecasting --- Business cycles --- Methodes statistiques. --- Statistical methods. --- Andrews, Donald W. K. --- Balke, Nathan S. --- Blanchard, Olivier J. --- Brier, G. W. --- Burns, Arthur F. --- Campbell, John Y. --- Deaton, Angus. --- Diebold, Francis X. --- Eichenbaum, M. --- Filardo, Andrew J. --- Gordon, Robert J. --- Granger-Sims causality. --- Hamilton, James D. --- Kim, Chang-Jin. --- Mankiw, N. Gregory. --- Mitchell, Wesley C. --- Nelson, Charles R. --- Plosser, Charles I. --- Rudebusch, Glenn D. --- Savin, N. Eugene. --- Shapiro-Wilk test. --- Watson, Mark W. --- Wilcoxon test. --- business cycle: causes of. --- consumption. --- hazard function. --- linear models. --- mean-unbiased estimation. --- sequential probability rule (SPR). --- trends and unit roots. --- unit root tests. --- volatility: analysis. --- Statistical methods

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Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,

individual updating strategy --- integrated design --- global optimum --- flexible job shop scheduling problem --- whale optimization algorithm --- EHO --- bat algorithm with multiple strategy coupling (mixBA) --- multi-objective DV-Hop localization algorithm --- optimization --- rock types --- variable neighborhood search --- biology --- average iteration times --- CEC2013 benchmarks --- slicing tree structure --- firefly algorithm (FA) --- benchmark --- single loop --- evolutionary computation --- memetic algorithm --- normal cloud model --- 0-1 knapsack problems --- elite strategy --- diversity maintenance --- material handling path --- artificial bee colony algorithm (ABC) --- urban design --- entropy --- evolutionary algorithms (EAs) --- monarch butterfly optimization --- numerical simulation --- architecture --- set-union knapsack problem --- Wilcoxon test --- convolutional neural network --- global position updating operator --- particle swarm optimization --- computation --- minimum load coloring --- topology structure --- adaptive multi-swarm --- minimum total dominating set --- mutation operation --- shape grammar --- greedy optimization algorithm --- ?-Hilbert space --- genetic algorithm --- large scale optimization --- large-scale optimization --- NSGA-II-DV-Hop --- constrained optimization problems (COPs) --- first-arrival picking --- transfer function --- SPEA 2 --- stochastic ranking (SR) --- wireless sensor networks (WSNs) --- acceleration search --- convergence point --- fuzzy c-means --- evolutionary algorithm --- success rates --- Artificial bee colony --- particle swarm optimizer --- random weight --- range detection --- adaptive weight --- large-scale --- automatic identification --- cloud model --- swarm intelligence --- evolutionary multi-objective optimization --- DV-Hop algorithm --- bat algorithm (BA) --- Friedman test --- quantum uncertainty property --- facility layout design --- local search --- deep learning --- Y conditional cloud generator --- benchmark functions --- discrete algorithm --- dispatching rule --- DE algorithm --- nonlinear convergence factor --- energy-efficient job shop scheduling --- t-test --- evolution --- dimension learning --- global optimization --- confidence term --- elephant herding optimization --- moth search algorithm --- evolutionary

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Engineering practice requires the use of structures containing identical components or parts, useful from several points of view: less information is needed to describe the system, design is made quicker and easier, components are made faster than a complex assembly, and finally the time to achieve the structure and the cost of manufacturing decreases. Additionally, the subsequent maintenance of the system becomes easier and cheaper. This Special Issue is dedicated to this kind of mechanical structure, describing the properties and methods of analysis of these structures. Discrete or continuous structures in static and dynamic cases are considered. Theoretical models, mathematical methods, and numerical analyses of the systems, such as the finite element method and experimental methods, are expected to be used in the research. Machine building, automotive, aerospace, and civil engineering are the main areas in which such applications appear, but they are found in most engineering fields.

exact solutions --- the generalized Benjamin–Bona–Mahony equation --- generalized exponential rational function method --- solitary wave solutions --- symbolic computation --- Thomson effect --- initial stress --- magneto-thermoelastic --- voids --- normal mode method --- G-N theory --- eigenvalue problem --- axisymmetric and non-axisymmetric vibrations --- multiparametric special functions --- circular plate --- functionally graded porous material --- initially stressed bodies --- dipolar structure --- volume fraction --- domain of influence --- chaotic time series prediction --- neural network --- firefly algorithm --- CEEMDAN --- VMD --- symmetric geometry --- guitar’s plate --- modal analysis --- skew symmetric eigenmodes --- comparison --- Friedman test --- linear regression --- nonlinear regression --- sign test --- symmetric errors --- Wilcoxon test --- coefficient of variation --- ratio --- symmetric and asymmetric distributions --- test of hypothesis --- multi-body system --- finite element method (FEM) --- linear elastic elements --- Lagrange’s equations --- two-dimensional finite element --- plane motion --- backward in time problem --- dipolar thermoelastic body --- uniqueness of solution --- Cesaro means --- partition of energies --- α-fractional calculus --- vibration isolation --- fractional-order differential equation --- rubber-like elastomers --- Riemann–Liouville/Caputo/Grünwald-Letnikov fractional derivative --- advanced mechanics --- analytical dynamics --- acceleration energies --- robotics --- viscoelasticity --- type III thermal law --- finite elements --- error estimates --- numerical results --- symmetry --- topology --- mechanical structures --- robots --- vibration --- mechanical engineering --- applied mechanics --- bird-strike impact --- composite laminate --- damage equivalency --- fan blade --- symmetrical configurations