Orleans (Luis Felipe José, Duque de) [Material gráfico]

Plancha de acero

Historia de la vida pública y privada de Luis Felipe de Orleans, ex-rey de los franceses : traducida del francés /

Mode of access: Internet.

Luis Felipe de Orleans, último rey de los franceses y su época /

Mode of access: Internet.

Memorias y correspondencia secreta de Luis Felipe y otros soberanos : relativas entre otras cuestiones a las de los casamientos españoles, la alianza anglo-francesa, el carlismo, las sociedades secretas, etc.

Mode of access: Internet.

Centesimo aniversario del venerable siervo de Dios p. Luis Felipe Neri de Alfonso celebrado en el Santuario de Jesús de Atotonilco, de que fue su fundador insigne

UANL

Historia de la vida política privada de Luis Felipe

UANL

Dr. Luis Felipe García de Onrubia

Fil: Pró, Diego F.. Universidad Nacional de Cuyo. Facultad de Filosofía y Letras. Instituto de Filosofía Argentina y Americana

Anales pintorescos de la era revolucionaria desde 1789 hasta nuestros días : obra adornada con grandes y magníficas láminas grabadas en acero que representan los sucesos más famosos, las batallas más memorables y los hombres más célebres de la Revolución francesa, del Imperio, de la Restauración, y del reinado de Luis Felipe /

Mode of access: Internet.

Histoire de la vie politique et privée de Louis-Philippe /

Mode of access: Internet.

El sacerdote fiel y según el corazón de Dios. Elogio funebre que en las magníficas exequías celebradas el día 22 de abril de 1776 en el Santuario de Jesús Nazareno de Atotonilco, a su patrón y fundador el M.R.P.D. Luis Delipe Neri de Alfaro..

UANL

Fast reconstruction of aerodynamic shapes using evolutionary algorithms and virtual Nash strategies in a CFD design environment

This paper compares the performances of two different optimisation techniques for solving inverse problems; the first one deals with the Hierarchical Asynchronous Parallel Evolutionary Algorithms software (HAPEA) and the second is implemented with a game strategy named Nash-EA. The HAPEA software is based on a hierarchical topology and asynchronous parallel computation. The Nash-EA methodology is introduced as a distributed virtual game and consists of splitting the wing design variables - aerofoil sections - supervised by players optimising their own strategy. The HAPEA and Nash-EA software methodologies are applied to a single objective aerodynamic ONERA M6 wing reconstruction. Numerical results from the two approaches are compared in terms of the quality of model and computational expense and demonstrate the superiority of the distributed Nash-EA methodology in a parallel environment for a similar design quality.

UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer

This paper presents the application of advanced optimization techniques to unmanned aerial system mission path planning system (MPPS) using multi-objective evolutionary algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline curves from start position to target and then target to start position or different positions with altitude constraints. The efficiency of the two optimization methods is compared in terms of computational cost and design quality. Numerical results show the benefits of adding a hybrid-game strategy to a MOEA and for a MPPS.

Active flow control bump design using hybrid Nash-game coupled to evolutionary algorithms

In this paper, the optimal design of an active flow control device; Shock Control Bump (SCB) on suction and pressure sides of transonic aerofoil to reduce transonic total drag is investigated. Two optimisation test cases are conducted using different advanced Evolutionary Algorithms (EAs); the first optimiser is the Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPMOEA) based on canonical Evolutionary Strategies (ES). The second optimiser is the HAPMOEA is hybridised with one of well-known Game Strategies; Nash-Game. Numerical results show that SCB significantly reduces the drag by 30% when compared to the baseline design. In addition, the use of a Nash-Game strategy as a pre-conditioner of global control saves computational cost up to 90% when compared to the first optimiser HAPMOEA.

Design Optimisation of UAVs Systems achieved on a Framework Environment via Evolution and Game Theory

Over recent years, Unmanned Air Vehicles or UAVs have become a powerful tool for reconnaissance and surveillance tasks. These vehicles are now available in a broad size and capability range and are intended to fly in regions where the presence of onboard human pilots is either too risky or unnecessary. This paper describes the formulation and application of a design framework that supports the complex task of multidisciplinary design optimisation of UAVs systems via evolutionary computation. The framework includes a Graphical User Interface (GUI), a robust Evolutionary Algorithm optimiser named HAPEA, several design modules, mesh generators and post-processing capabilities in an integrated platform. These population –based algorithms such as EAs are good for cases problems where the search space can be multi-modal, non-convex or discontinuous, with multiple local minima and with noise, and also problems where we look for multiple solutions via Game Theory, namely a Nash equilibrium point or a Pareto set of non-dominated solutions. The application of the methodology is illustrated on conceptual and detailed multi-criteria and multidisciplinary shape design problems. Results indicate the practicality and robustness of the framework to find optimal shapes and trade—offs between the disciplinary analyses and to produce a set of non dominated solutions of an optimal Pareto front to the designer.