Now showing items 1-5 of 5
A multi-objective memetic inverse solver reinforced by local optimization methods
We propose a new memetic strategy that can solve the multi-physics, complex inverse problems, formulated as the multi-objective optimization ones, in which objectives are misfits between the measured and simulated states ...
Dimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurements
Magnetotelluric (MT) problems often contain different subdomains where the conductivity of the media depends upon one, two, or three spatial variables. Traditionally, when a MT problem incorporates a three-dimensional (3D) ...
Quantities of interest for surface based resistivity geophysical measurements
The objective of traditional goal-oriented strategies is to construct an optimal mesh that minimizes the problem size needed to achieve a user prescribed tolerance error for a given quantity of interest (QoI). Typical ...
Multi-objective hierarchic memetic solver for inverse parametric problems
We propose a multi-objective approach for solving challenging inverse parametric problems. The objectives are misfits for several physical descriptions of a phenomenon under consideration, whereas their domain is a common ...
An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems
The paper discusses the complex, agent-oriented hierarchic memetic strategy (HMS) dedicated to solving inverse parametric problems. The strategy goes beyond the idea of two-phase global optimization algorithms. The global ...