LE PROBLEME QUI A INITIE CETTE THESE EST L'OPTIMISATION DE FORME DES GOUVERNES DE MISSILES. LES VOILURES SONT LE MOYEN LE PLUS EFFICACE ET LE PLUS SIMPLE POUR PILOTER UN MISSILE ET LE GUIDER JUSQU'A SON OBJECTIF. LA MINIMISATION DU MOMENT DE CHARNIERE DES GOUVERNES PERMET DONC DE REDUIRE NOTABLEMENT LE COUT ET LE POIDS DES ACTIONNEURS. DANS UNE PREMIERE PARTIE, L'ETUDE DE DIFFERENTES METHODES D'OPTIMISATION GLOBALE NOUS AMENE A DISTINGUER ESSENTIELLEMENT DEUX CLASSES DE METHODES : L'UNE PROGRESSE PAR DIRECTION DE RECHERCHE, L'AUTRE PAR CORRELATION. NOUS NOUS INTERESSONS PLUS PARTICULIEREMENT TOUT D'ABORD AU RECUIT SIMULE, METHODE DIRECTIONNELLE AGISSANT SUR UN POINT, PUIS A LA METHODE DE MASSAT ET MASMOUDI QUI PROCEDE PAR DIRECTION DE RECHERCHE ET PAR CORRELATION ET ENFIN AUX ALGORITHMES GENETIQUES (A.G.), PROCESSUS PUREMENT CORRELATIFS. NOTRE CHOIX SE PORTE SUR UNE METHODE CORRELATIVE : LES A.G. MIEUX ADAPTES AU PROBLEME A RESOUDRE. DAN UNE SECONDE PARTIE, LES A.G. SONT APPLIQUES A DIFFERENTS CAS D'EPREUVES. CECI NOUS PERMET TOUT D'ABORD DE METTRE EN EVIDENCE L'IMPORTANCE DU CHOIX DES VARIABLES D'OPTIMISATION, PUIS D'ETUDIER LES DIFFERENTS PROCESSUS DE GESTION DES CONTRAINTES EN PRECISANT LEUR DOMAINE DE VALIDITE ET ENFIN DE COMPARER LES DIFFERENTES VARIANTES D'OPERATEURS (SELECTION, CROISEMENT ET MUTATION). NOUS CONFRONTONS NOS RESULTATS AVEC CEUX EXISTANTS. LA TROISIEME PARTIE EST CONSACREE A L'ANALYSE INTUITIVE DU FONCTIONNEMENT D'UN MODELE D'A.G. D'ABORD A CODAGE BINAIRE PUIS A CODAGE REEL. POUR ASSURER LA CONVERGENCE VERS LE MINIMUM GLOBAL, NOUS SOMMES AMENES A FAIRE DES HYPOTHESES. DANS LE BUT DE LES AFFAIBLIR, NOUS PROPOSONS UNE VARIANTE A.G. : LES ALGORITHMES GENETIQUES A SCHEMES EXPLICITES.

L'étude porte sur l'optimisation sous contraintes de formes en aérodynamique, avec application à la conception de lignes de nacelles de moteurs civils. Apres un rappel du contexte de l'étude et de sa place au sein des techniques de dessin automatique, on présente le formalisme B-spline retenu pour la paramétrisation de la forme. L'algorithme d'optimisation récursif quadratique est ensuite détaillé. L'étude d'un problème monodimensionnel simple permet de valider la technique de calcul du gradient par la résolution d'une équation adjointe, ainsi que ses variantes. Cette technique est ensuite étendue à l'analyse de sensibilité pour les équations d'Euler bidimensionnelles ou axisymètriques. Enfin, l'application à l'optimisation des nacelles civiles est présentée, au travers de plusieurs formulations possibles du problème, avec la prise en compte de contraintes tant géométriques qu'aérodynamiques

Genetic Algorithms in Engineering and Computer Science Edited by G. Winter University of Las Palmas, Canary Islands, Spain J. Périaux Dassault Aviation, Saint Cloud, France M. Galán P. Cuesta University of Las Palmas, Canary Islands, Spain This attractive book alerts us to the existence of evolution based software — Genetic Algorithms and Evolution Strategies—used for the study of complex systems and difficult optimization problems unresolved until now. Evolution algorithms are artificial intelligence techniques which mimic nature according to the "survival of the fittest" (Darwin’s principle). They randomly encode physical (quantitative or qualitative) variables via digital DNA inside computers and are known for their robustness to better explore large search spaces and find near-global optima than traditional optimization methods. The objectives of this volume are two-fold: to present a compendium of state-of-the-art lectures delivered by recognized experts in the field on theoretical, numerical and applied aspects of Genetic Algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. to provide a bridge between Artificial Intelligence and Scientific Computing in order to increase the performance of evolution programs for solving real life problems. Fluid dynamics, structure mechanics, electromagnetics, automation control, resource optimization, image processing and economics are the featured multi-disciplinary areas among others in Engineering and Applied Sciences where evolution works impressively well. This volume is aimed at graduate students, applied mathematicians, computer scientists, researchers and engineers who face challenging design optimization problems in Industry. They will enjoy implementing new programs using these evolution techniques which have been experimented with by Nature for 3.5 billion years.

Traces the development of fighter design from World War One to the present day. Covers aerodynamics, stability and control, propulsion, structures and materials, avoinics, armaments and tactics. The drawings and charts make this an informative book for enthusiasts and those with a professional interest in aircraft design.

A detailed and thorough reference on the discipline and practice of systems engineering The objective of the International Council on Systems Engineering (INCOSE) Systems Engineering Handbook is to describe key process activities performed by systems engineers and other engineering professionals throughout the life cycle of a system. The book covers a wide range of fundamental system concepts that broaden the thinking of the systems engineering practitioner, such as system thinking, system science, life cycle management, specialty engineering, system of systems, and agile and iterative methods. This book also defines the discipline and practice of systems engineering for students and practicing professionals alike, providing an authoritative reference that is acknowledged worldwide. The latest edition of the INCOSE Systems Engineering Handbook: Is consistent with ISO/IEC/IEEE 15288:2015 Systems and software engineering—System life cycle processes and the Guide to the Systems Engineering Body of Knowledge (SEBoK) Has been updated to include the latest concepts of the INCOSE working groups Is the body of knowledge for the INCOSE Certification Process This book is ideal for any engineering professional who has an interest in or needs to apply systems engineering practices. This includes the experienced systems engineer who needs a convenient reference, a product engineer or engineer in another discipline who needs to perform systems engineering, a new systems engineer, or anyone interested in learning more about systems engineering.