Multi-objective design optimisation: getting more for less

More for Less - Getting More Clients by Broadcasting Less Data

Broadcasting is scalable in terms of served users but not in terms of served data volume. Additionally, waiting time deadlines may be difficult to uphold due to the data clutter, forcing the clients to flee the system. This work proposes a way of selecting subsets of the original data that ensure near-optimal service ratio. The proposed technique relies on the novel data compatibility distance,...

Evolutionary Design and Multi–objective Optimisation

In this paper we explore established methods for optimising multi-objective functions whilst addressing the problem of preliminary design. Methods from the literature are investigated and new ones introduced. All methods are evaluated within a collaborative project for whole system airframe design and the basic problems and difficulties of preliminary design methodology are discussed (Cvetković...

Multi-objective Optimisation and Preliminary Airframe Design

In this paper we explore established methods for optimising multi-objective functions whilst addressing the problem of preliminary design. Methods from the literature are investigated and new ones introduced. All methods are evaluated within a collaborative project with British Aerospace for whole system airframe design and the basic problems and difficulties of preliminary design methodology a...

Multi-objective optimisation for spacecraft design for demise and survivability

The paper presents the development of a multi-objective optimisation framework to study the effects that preliminary design choices have on the demisability and the survivability of a spacecraft. Building a spacecraft such that most of it will demise during the re-entry through design-for-demise strategies may lead to design that are more vulnerable to space debris impacts, thus compromising th...

The publishing game: getting more for less.