SUMMARY It is argued that the formulation of the method of applying a flutter constraint in weight optimisation which allows for all the methods of avoiding flutter is so complicated that it is best not to try to include a flutter constraint in a general optimisation program with other constraints but to apply it only if the structure obtained from optimisation with the other constraints alone ...

Global optimisation of unknown noisy functions is a daunting task that seems to appear in domains ranging from games to control problems to meta-parameter optimisation for machine learning. We show how to incorporate heuristics to Stochastic Simultaneous Optimistic Optimization (STOSOO), a global optimisation algorithm that has very weak requirements from the function. In our case, heuristics c...

Portfolio optimisation for a Fund of Hedge Funds (“FoHF”) has to address the asymmetric, non-Gaussian nature of the underlying returns distributions. Furthermore, the objective functions and constraints are not necessarily convex or even smooth. Therefore traditional portfolio optimisation methods such as mean-variance optimisation are not appropriate for such problems and global search optimis...

Over the last ten years phage display has been employed for the potency optimisation of many antibodies which have progressed into clinical development. More recently, ribosome display has emerged as a powerful alternative to phage display for antibody optimisation. In this study we have analysed in-house data from the optimisation of 30 antibodies by phage and/or ribosome display to compare th...

We introduce the isogeometric shape optimisation of thin shell structures using subdivision surfaces. Both triangular Loop and quadrilateral Catmull-Clark subdivision schemes are considered for geometry modelling and finite element analysis. A gradientbased shape optimisation technique is implemented to minimise compliance, i.e. to maximise stiffness. Different control meshes describing the sam...

This paper proposes a multi-objective optimisation model and particle swarm optimisation solution method for the robust dynamic scheduling of permutation flow shop in the presence of uncertainties. The proposed optimisation model for robust scheduling considers utility, stability and robustness measures to generate robust schedules that minimise the effect of different real-time events on the p...

A hierarchical optimisation strategy has been introduced for minimising the Hartree-Fock/Kohn-Sham energy, consisting of three levels (3L): an atom-in-a-molecule optimisation, a valence-basis molecular optimisation, and a full-basis molecular optimisation. The density matrix formed at one level is used as a starting density matrix at the next level with no loss of information. To ensure a fast ...

Integrated circuit manufacturers provide libraries of pre-designed digital cells for digital circuit design. The transistor level implementation of the cells is not considered during the design procedure. The cells, such as buffers, logic gates, adders, flip-flops, etc. are used without modifications wherever needed. For that reason the cells are not fine tuned to their unique surrounding condi...

Optimisation problems in Healthcare have received considerable attention for more than three decades. More recently, however, with decreasing birth rates in nearly all of the developed countries and increasing average longevity globally, optimisation issues in Healthcare have become noticeably important and attract keen interest from the Operations Research community. Over the years, attention ...

In this paper we show a simplified optimisation approach for free boundary problems in arbitrary space dimensions. This approach is mainly based on an extended operator splitting which allows a decoupling of the domain deformation and solving the remaining partial differential equation. First we give a short introduction to free boundary problems and the problems occurring in optimisation. Then...