Multi-Objective Optimisation of Restricted Complexity Controllers*

Multi-Objective Optimisation of Restricted Complexity Controllers

Restricted complexity controller design for the active suspension benchmark problem [1] is considered. The control design specifications of the benchmark is firstly recast into a mixed H∞/l1 optimisation problem, which is solved via a convex optimisation approach. A globally optimal Pareto curve is produced via the optimisation. It presents the limits of performance and is served as a reference...

Multi-objective Binary Search Optimisation

Multi-objective optimisation of asset maintenance management

Asset managers are faced with the necessity to reduce total life-cycle costs of their facilities as well as to improve their physical condition and long-term performance while considering the relative consequences of their failure. This paper presents a systematic decision-making approach for asset maintenance management that combines a stochastic Markovian performance prediction model with a m...

Multi-Objective Optimisation of Vehicle Drivetrains

Vehicle drivetrains are complex integrated systems, which need to be designed for numerous thermodynamic, economic and environmental factors. As part of a project of the Alliance for Global Sustainability between the MIT, the SFITs and the University of Tokyo, a new evolutionary multi-objective optimisation algorithm has been developed and applied to various problems including vehicle drivetrai...

Multi-objective particle swarm optimisation methods

This study compares a number of selection regimes for the choosing of global best (gbest) and personal best (pbest) for swarm members in multi-objective particle swarm optimisation (MOPSO). Two distinct gbest selection techniques are shown to exist in the literature, those that do not restrict the selection of archive members and those with ‘distance’ based gbest selection techniques. Theoretic...