One way to address multi-scale optimisation problems is by integrating logic and optimisation. For example, a scheduling problem may have two levels: (i) assigning orders to machines and (ii) sequencing orders on each machine. In a minumum cost model, assigning orders to machines is a mixed-integer optimisation problem, sequencing orders is a constraint satisfaction problem. The entire problem ...

To optimise business processes is a very complex task. The goal is double: to improve productivity and quality. The method, developed in this paper, is composed of 4 steps : the first one is the modelisation step (to describe the business process in a very rigorous way), then a conceptual optimisation (supported by evaluation and simulation tools) to improve the business process structure (to m...

Cities worldwide have been trying to achieve a sustainable urban form to handle their rapid urban growth. Many sustainable urban forms have been studied and two of them, the compact city and the eco city, were chosen in this study as urban form foundations. Based on these forms, four sustainable city criteria (compactness, compatibility, dependency, and suitability) were considered as necessary...

The field of optimisation is still not appropriately covered in modern computer programs for circuit analysis as SPICE, which was originally developed at the University of California at Berkeley. The last official release of SPICE was published in 1992 and includes interactive interpreter language called Nutmeg, which is at first glance very convenient for coding optimisation loops. But it turn...

Evolutionary dynamic optimisation (EDO), or the study of applying evolutionary algorithms to dynamic optimisation problems (DOPs) is the focus of this thesis. Based on two comprehensive literature reviews on existing academic EDO research and realworld DOPs, this thesis for the first time identifies some important gaps in current academic research where some common types of problems and problem...

Interaction among decision variables is inherent to a number of real-life engineering design optimisation problems. There are two types of interaction that can exist among decision variables: inseparable function interaction and variable dependence. The aim of this paper is to propose an Evolutionary Computing (EC) technique for handling variable dependence in multi-objective optimisation probl...

In most optimisation experiments, a single parameter is first optimised before a second and then third one are subsequently modified to give the best result. By contrast, we believe that simultaneous multiobjective optimisation is more powerful; therefore, an optimisation of the experimental conditions for the colloidal SERS detection of L-cysteine was carried out. Six aggregating agents and th...