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This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).
A self-contained undergraduate-level course in optimization with semidifferential calculus, complete with numerous examples and exercises.
This ground-breaking new textbook takes a thematic approach to the history of economic thought, introducing current economic issues and examining the relevant arguments of key economists. By taking this innovative approach, the book sets these pivotal ideas in a contemporary context, helping readers to engage with the material and see the applications to today's society and economy. Based on courses developed by the authors, the text introduces a range of perspectives and encourages critical reflection upon neoclassical economics. Through exposure to a broader spectrum of sometimes conflicting propositions, readers are able to evaluate the strengths, weaknesses and relevance of different economic theories. Recharting the History of Economic Thought is an invaluable companion for those taking courses in the History of Economic Thought, the Development of Economic Ideas, Developing Economic Thinking or Economic Thought and Policy. It will also appeal to anyone looking for an introduction to pluralist approaches to economics.
The reform programme called "General Review of Public Policies" (Révision Générale des Politiques Publiques, RGPP), implemented at central government level in France in 2007, is a novel approach for OECD countries by its mode of governance, directly and continuously involving the highest state offic
Le contexte économique impose des systèmes toujours plus performants, minimisant coûts d’investissement et de possession. Si les méthodes d’analyse, de synthèse et de gestion présentées dans le premier volume Conception systémique pour la conversion d’énergie électrique 1 participent à l’optimisation des systèmes énergétiques, les techniques traitées dans cet ouvrage proposent d’aller encore plus loin dans la performance. La complexité de systèmes multidisciplinaires à fort degré de couplage augmentant, le processus de conception par optimisation consistant à coupler un modèle à un algorithme d’optimisation au sein d’un environnement logiciel devient dès lors indispensable. Ce volume rassemble les points-clés permettant de représenter efficacement et de façon compacte l’environnement système et les profils de mission, mais également les méthodes, modèles et outils dédiés à l’optimisation. Les approches multiniveaux de conception et l’optimisation technico-économique des réseaux électriques sont particulièrement détaillées.
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book presents a formal description of optimality conditions, followed by an in-depth discussion of the main solution techniques. Each method is formally described, and then fully solved using a numerical example.
This second edition provides an enhanced exposition of the long-overlooked Hadamard semidifferential calculus, first introduced in the 1920s by mathematicians Jacques Hadamard and Maurice René Fréchet. Hadamard semidifferential calculus is possibly the largest family of nondifferentiable functions that retains all the features of classical differential calculus, including the chain rule, making it a natural framework for initiating a large audience of undergraduates and non-mathematicians into the world of nondifferentiable optimization. Introduction to Optimization and Hadamard Semidifferential Calculus, Second Edition builds upon its prior edition’s foundations in Hadamard semidifferential calculus, showcasing new material linked to convex analysis and nonsmooth optimization. It presents a modern treatment of optimization and Hadamard semidifferential calculus while remaining at a level that is accessible to undergraduate students, and challenges students with exercises related to problems in such fields as engineering, mechanics, medicine, physics, and economics. Answers are supplied in Appendix B. Students of mathematics, physics, engineering, economics, and other disciplines that demand a basic knowledge of mathematical analysis and linear algebra will find this a fitting primary or companion resource for their studies. This textbook has been designed and tested for a one-term course at the undergraduate level. In its full version, it is appropriate for a first-year graduate course and as a reference.