[PDF] Top 20 Prevention of parametric rolling through multi-objective optimisation

... of parametric rolling or not was presented. An optimisation process was developed to investigate the main impact of five design variables on parametric rolling performance and ...A ... See full document

... of parametric optimisation process in the early stages of ship design, a much improved design can be produced, providing numer- ous benefits to a potential builder and end user (ship ...of ... See full document

... its rolling tide ...The rolling tide approach also has the benefit that although we use a single initial evaluation for search points, the final estimated non-dominated archive tends to have many ... See full document

... produce values of the metacentric height (GM) in various wave conditions, while Matlab [26] is responsible for the calculation of the roll amplitude, where complex equations must be solved. Furthermore, a custom feature ... See full document

... The energy efficiency design index, the ratio of the above to below deck 21 number of containers, the required freight rate, the ship’s zero-ballast container capacity and the total 22 s[r] ... See full document

... the optimisation problem experiences observational noise, there is also a trade-off with respect to accuracy refinement – as improving the estimate of a design’s performance typi- cally is at the cost of ... See full document

... Two options exist for imposing the connectivity constraint. First of these is solving analytically using the algebraic connectivity rule, which states that network is con- nected if the second smallest eigenvalue of the ... See full document

... Swarm optimisation (PSO) introduced by Kennedy and Eberhart (1995) is based on velocities of moving particles in 2, 3 or n-dimensional (hyper- )spaces, and acceleration towards solutions nearer to the global ... See full document

... novel multi-tier adaptive grid selection scheme is developed and combined with the existing CMA-PAES algorithm, in a new augmented algorithm named the Multi-tier Covariance Matrix Adaptation Pareto Archived ... See full document

... To ensure the best individuals in the population are not lost from generation to generation, elitism can be employed. In a simple GA, the top performing individuals from the last generation replace the current gen- ... See full document

... the objective space (Knowles and Corne, ...the objective space and, when a solution is generated, its grid location is identified and associated with ... See full document

... Finally we consider three real-world multi objective Pareto frontier optimi- sation problems. The first problem, boston , involves training a 2 hidden layer neural network on a random train/test split of ... See full document

... considered multi-class generalisations of ROC analysis from a multi-objective optimisation ...a multi-objective optimisation problem in which misclassification rates are ... See full document

... an objective cannot exist independently from the range of performance exhibited for that ...the objective with the most important observed variation between worst performance and best perfor- mance ... See full document

... real-world multi-objective prob- lems, the ideal optimisation algorithm is one which converges to an approximation set consisting of non- dominated solutions which are within the DM’s Re- gion of ... See full document

... amongst the more traditional forms of decision tree construction [2], as dis- cussed in Section 2, and advanced methods from the machine learning liter- ature like Bayesian averaging have also been applied [13] (although ... See full document

... agents or simply collect information on a neighborhood of each agent. In MACS2 the idea of search di- rections was introduced in the logic of the agents, which could select new candidate solutions according to either ... See full document

... possible through use of multi-objective optimisation methods but this is computationally challenging due to the size of the search space and the need for high fidelity simulations due to the ... See full document

... to that node are increased to the next largest size. Similarly, if a node experiences a head excess, the incoming pipes are downsized. These changes are implemented for every node in the network before the next ... See full document

... The flight dynamics are modelled as a variable-mass point with three degrees of freedom in the Earth-centered Earth- fixed reference frame, subject to gravitational, aerodynamic lift and drag forces. The state vector ... See full document