These lecture notes highlight some of the recent applications of multi-objective and multidisciplinary design optimisation in aeronautical design using the framework and methodology described in References 8, 23, 24 and in Part 1 and 2 of the notes. A summary of the methodology is described and the treatment of uncertainties in flight conditions parameters by the HAPEAs software and game strategies is introduced. Several test cases dealing with detailed design and computed with the software are presented and results discussed in section 4 of these notes
There are many applications in aeronautical/aerospace engineering where some values of the design pa...
This paper examines the initial development and application of a framework for Multidisciplinary Des...
One of the new challenges in aeronautics is combining and accounting for multiple disciplines while ...
These lecture notes describe the use and implementation of a framework in which mathematical as well...
This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multi-objective...
This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multiobjective ...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
This paper describes the formulation and application of a design framework that supports the complex...
The implementation and use of a framework in which engineering optimization problems can be analysed...
The purpose of this chapter is to give an overview of evolutionary algorithms and describe a particu...
In this paper, an optimization technique in aircraft design field, based on game theory and evolutio...
When designing an aircraft engineers are usually given a design or set of design points especially o...
A growing area in aerospace engineering is the use and development of Unmanned Aerial Vehicles (UAVs...
An evolutionary optimisation method for Multidisciplinary Design Optimisation (MDO) and aircraft sys...
There are many applications in aeronautical/aerospace engineering where some values of the design pa...
This paper examines the initial development and application of a framework for Multidisciplinary Des...
One of the new challenges in aeronautics is combining and accounting for multiple disciplines while ...
These lecture notes describe the use and implementation of a framework in which mathematical as well...
This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multi-objective...
This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multiobjective ...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
Many complex aeronautical design problems can be formulated with efficient multi-objective evolution...
This paper describes the formulation and application of a design framework that supports the complex...
The implementation and use of a framework in which engineering optimization problems can be analysed...
The purpose of this chapter is to give an overview of evolutionary algorithms and describe a particu...
In this paper, an optimization technique in aircraft design field, based on game theory and evolutio...
When designing an aircraft engineers are usually given a design or set of design points especially o...
A growing area in aerospace engineering is the use and development of Unmanned Aerial Vehicles (UAVs...
An evolutionary optimisation method for Multidisciplinary Design Optimisation (MDO) and aircraft sys...
There are many applications in aeronautical/aerospace engineering where some values of the design pa...
This paper examines the initial development and application of a framework for Multidisciplinary Des...
One of the new challenges in aeronautics is combining and accounting for multiple disciplines while ...