Using self-adaptive optimisation methods to perform sequential optimisation for low-energy building design

Self-Adaptive Stepsize Search Applied To Robust Engineering Design Optimisation

In engineering it is usually necessary to design systems as cheap as possible whilst ensuring that certain constraints are satisfied. Computational optimisation methods can help to find optimal designs. However, it is demonstrated in this work that an optimal design is often not robust against variations caused by the manufacturing process, which would result in unsatisfactory product quality. ...

Sequential experimental design and response optimisation

We consider the situation where one wants to maximise a function f(θ,x) with respect to x, with θ unknown and estimated from observations yk. This may correspond to the case of a regression model, where one observes yk = f(θ,xk) + ǫk, with ǫk some random error, or to the Bernoulli case where yk ∈ {0, 1}, with Pr[yk = 1|θ,xk] = f(θ,xk). Special attention is given to sequences given by xk+1 = arg...

Evolutionary Methods for Design , Optimisation And

Evolutionary Methods for Design , Optimisation and Controlk

Sequential Process Optimisation Using Genetic Algorithms

Locating good design solutions within a sequential process environment is necessary to improve the quality and overall productivity of the processes. Multi-objective, multi-stage sequential process design is a complex problem involving large number of design variables and sequential relationship between any two stages. The aim of this paper is to propose a novel framework to handle real-life se...