This paper sets out to show that evolutionary search tools have an important role to play in the development of Problem Solving Environments (PSE's) for aerospace design. Distributed and versatile PSE's are now being prototyped in a number of research and industrial groups around the world and can be expected to take a central place in the toolkit of future aerospace designers. The role played in these systems by evolutionary methods includes improvements of the design process as well as the search for better products via goal oriented optimization. These and related aspects of aerospace design are illustrated here with examples from the fields of satellite, airframe and aeroengine design
In this chapter, an introduction on the use of evolutionary computing techniques, which are consider...
This thesis presents a modern evolutionary technique for design and optimisation in aeronautics, wi...
Many different approaches to total system design and optimization have been atempted. The Genetic Le...
This paper outlines the authors' experiences on applying optimization search methods to a number of ...
The design of the wings for a transonic civil transport aircraft is an extremely complex task. It is...
Control design tasks often require the use of trial-and-error search methods to obtain a satisfactor...
Although object-oriented conceptual software design is difficult to learn and perform, computational...
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...
Evolutionary algorithms (EA) are a computation tool that utilizes biological principles found in th...
The main objective of this special issue is to portray the diverse efforts made in the application o...
The paper describes the initial development of the data modelling and search, exploration and optimi...
The paper describes the initial development of the data modelling and search, exploration and optimi...
The paper describes a new preference method and its use in multiobjective optimization. These prefer...
Spacecraft design optimization is a domain that can benefit from the application of optimization alg...
In this chapter, an introduction on the use of evolutionary computing techniques, which are consider...
This thesis presents a modern evolutionary technique for design and optimisation in aeronautics, wi...
Many different approaches to total system design and optimization have been atempted. The Genetic Le...
This paper outlines the authors' experiences on applying optimization search methods to a number of ...
The design of the wings for a transonic civil transport aircraft is an extremely complex task. It is...
Control design tasks often require the use of trial-and-error search methods to obtain a satisfactor...
Although object-oriented conceptual software design is difficult to learn and perform, computational...
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...
Evolutionary algorithms (EA) are a computation tool that utilizes biological principles found in th...
The main objective of this special issue is to portray the diverse efforts made in the application o...
The paper describes the initial development of the data modelling and search, exploration and optimi...
The paper describes the initial development of the data modelling and search, exploration and optimi...
The paper describes a new preference method and its use in multiobjective optimization. These prefer...
Spacecraft design optimization is a domain that can benefit from the application of optimization alg...
In this chapter, an introduction on the use of evolutionary computing techniques, which are consider...
This thesis presents a modern evolutionary technique for design and optimisation in aeronautics, wi...
Many different approaches to total system design and optimization have been atempted. The Genetic Le...