Low-temperature energy systems are processes that require cooling at temperatures below ambient, which are accomplished using refrigeration cycles. Little research has addressed the operational optimisation of refrigeration cycles considering the performance of existing equipment. This work develops a methodology for operational optimisation of refrigerated processes, taking into account existi...

This paper describes the N-Tuple Bandit Evolutionary Algorithm (NTBEA), an optimisation algorithm developed for noisy and expensive discrete (combinatorial) optimisation problems. The algorithm is applied to two game-based hyperparameter optimisation problems. The N-Tuple system directly models the statistics, approximating the fitness and number of evaluations of each modelled combination of p...

Central problems in path planning are obstacle avoidance and path optimisation. The aim of our work was to investigate the efciency of an Evolution Strategy for optimising robot parameters in both respects. We chose a simple model in order to highlight the effect of evolution as an optimisation procedure. In our model the robot has to reach given goals from a given starting position. In our sim...

An optimal experimental design for yield coefficients estimation in an unstructured growth model of fed-batch fermentation of E. coli is presented. The feed profile is designed by optimisation of a scalar function based on the Fischer Information Matrix. A genetic algorithm is proposed as the optimisation method due to its efficiency and independence on the initial values. Copyright 2004 IFAC K...

An architecture for the operation of industrial processes is presented in this paper. It is based on an expert controller whose main functions are process optimisation and fault detection. Only process optimisation is detailed here. The operation system has two main sub-systems: a Multiobjective Optimisation System, based on genetic algorithms, and a Learning System, based on fuzzy rules, which...

Abstract Regularisation theory in Banach spaces, and non-norm-squared regularisation even finite dimensions, generally relies upon Bregman divergences to replace norm convergence. This is comparable the extension of first-order optimisation methods spaces. can, however, be somewhat suboptimal terms descriptiveness. Using concept ( strong ) metric subregularity , previously used prove fast local...

This thesis concerns techniques for efficient runtime optimisation of regular parallel programs that are built from separate software components. High-quality, high-performance parallel software is frequently built from separately-written reusable software components such as functions from a library of parallel routines. Apart from the strong case from the software engineering point-of-view for...

With careful design, mixed microstructures consisting of fine plates of upper bainitic ferrite separated by thin films of stable retained austenite have exhibited impressive combinations of strength and toughness in highsilicon bainitic steels. The silicon suppresses the precipitation of brittle cementite leading to an improvement in toughness. The essential principles governing the optimisatio...