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Showing 1 to 8 of 8 for “"Multiobjective optimisation"”.
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An infeasible-path-following algorithm for nonlinear multiobjective optimisation problems
The subject area of multiobjective optimisation deals with the investigation of optimisation problems that possess more than one objective function. Usually, there does not exist a single solution that optimises all functions simultaneously, quite the contrary, in general the set of so-called …
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Multi-objective evolutionary algorithms for product design
… and Machine Learning (ML) with Evolutionary MultiObjective Optimisation (EMOO) techniques to streamline compound design. This approach automates the design process by leveraging ML to accurately predict compound properties and using EMOO to select compounds that meet various criteria. The …
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Customer focused optimal design skill training module from the informatics perspective
… tree method); (b) Part II: The PSB Design and Optimisation (multiobjective optimisation technique); (c) Part III: The Design and Development of Training Modules (ADDIE Model) with Experts Validation (n=5); and (d) Part IV: The User Study of Skill Training Module (n=21). As results, in Part I …
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State switching in multi-stable systems: control and optimisation.
… simulation on the test systems. Moreover, optimisation of the controller (based on multiple performance objectives) can further improve system performance. Two performance objectives - maximum peak of control input and switching duration - are adopted in optimising the proposed PD-like …
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Optimisation over the non-dominated set of a multi-objective optimisation problem
In this thesis we are concerned with optimisation over the non-dominated set of a multiobjective optimisation problem. A multi-objective optimisation problem (MOP) involves multiple conflicting objective functions. The non-dominated set of this problem is of interest because it is composed of the …
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Optimisation of a power distribution network's active power loss and reliability performance
… reliability of supply to consumers. A new loss optimisation algorithm by feeder reconfiguration based on graph theory and topology search techniques is developed in this thesis. By means of a directed exhaustive search of network configurations (and unlike a number of previous methods in the …
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Surrogate Model Optimisation for PWR Fuel Management
… that fuel loading pattern design problems are multiobjective and, by design, have many input variables. This causes a combinatorial explosion, known as the ‘curse of dimensionality’, which makes these complex problems difficult to investigate. In this thesis, the method of surrogate model …