This work presents a Simulation Based Design environment for solving optimum ship design problems using a Global Optimization algorithm. This multiobjective optimization framework makes use of high-fidelity CPU-expensive computational models, including a free-surface capturing RANSE solver. The complexity of the flow solver requires the use of approximation techniques for the objective function computation. A key point in this work is the study of different metamodelling techniques for the optimization process, including the use of self-adaptation techniques. Numerical examples are given to demonstrate both the validity and usefulness of the proposed approach.
Multiobjective Global Optimization Algorithms in Simulation Based Design
2005
Abstract
This work presents a Simulation Based Design environment for solving optimum ship design problems using a Global Optimization algorithm. This multiobjective optimization framework makes use of high-fidelity CPU-expensive computational models, including a free-surface capturing RANSE solver. The complexity of the flow solver requires the use of approximation techniques for the objective function computation. A key point in this work is the study of different metamodelling techniques for the optimization process, including the use of self-adaptation techniques. Numerical examples are given to demonstrate both the validity and usefulness of the proposed approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
