In order to properly operate an autonomous vehicle navigation system, it is important that the vehicle and sensor models of an autonomous vehicle are defined by an accurate parameter set. This paper presents a technique for identifying parameters of an autonomous vehicle using multi-objective optimisation, which enables the identification process without introducing additional parameters. A mul...

To realise the ecological protection and high-quality development of Yellow River Basin transition from extensive utilisation to intensive conservation agricultural water, a multi-objective crop planting structure optimisation model was established. The enabled highly efficient in terms net income with high yield low consumption water. Thereafter, game algorithm used balance different requireme...

The overall complexity of optimisation problems in ship design results in high computation time requirements. The high computation time requirements for objective function evaluations in a complex design optimisation problem can practically be reduced by either using parallel execution of the objective functions in state-of-the-art super computers or concurrent execution of the objective functi...

We propose the bounded multi-objective max-sum algorithm (B-MOMS), the first decentralised coordination algorithm for multi-objective optimisation problems. B-MOMS extends the max-sum message-passing algorithm for decentralised coordination to compute bounded approximate solutions to multi-objective decentralised constraint optimisation problems (MO-DCOPs). Specifically, we prove the optimality...

The continuous increase in the uptake of electric vehicles and interest to use provide energy services require commercially viable business models for all involved stakeholders. It is, however, challenging achieve synergy among different stakeholders since their objectives are often conflicting. This work proposes a real-time multi-objective optimisation method where vehicle charging/dischargin...

An artificially intelligent flow-reactor platform equipped with online NMR and GPC enables autonomous polymerisation optimisation utilising a machine learning algorithm to map the trade-off between monomer conversion dispersity.

In this paper, we present the design and optimization of a centrifugal fan with requirements maximizing total-to-static pressure rise efficiency at two operating points maximum torque provided by motor power using 3D inverse method, DOE (design experiment) study, an RSM (response surface model) MOGA (multi-objective genetic algorithm). The geometry is parametrized 13 parameters, 120 different d...

This paper presents a decision tool for the optimisation of wind turbine technical parameters, using multiphysical model power system. includes modelling aerodynamical, mechanical and electromechanical system behaviours. The aerodynamics is based on blade element momentum model. A mass turbines components also used in this paper. performed with NSGA-II algorithm which may choose parameters (bla...