Biogeography-Based Optimization (BBO) has recently gained interest of researchers due to its simplicity in implementation, efficiency and existence of very few parameters. The BBO algorithm is a new type of optimization technique based on biogeography concept. This population-based algorithm uses the idea of the migration strategy of animals or other species for solving optimization problems. t...

the conventional approach to seismic data analysis consists of two main steps: estimating seismic velocities, (the subsurface macro-model), and seismic imaging, (mapping of the reflected seismic energy to the reflector positions). the aim and the major challenge in the seismic data analysis is the construction of the best undistorted image. this challenge would be more problematic when geometri...

Kirchhoo migration operator is a highly oscillatory integral operator. In our previous work (see \Seismic Imaging in Wavelet Domain", Wu and Yang 1], 1997), we have shown that the matrix representation of Kirchhoo migration operator for homogeneous background in space-frequency domain is a dense matrix, while the compressed beamlet-operator, which is the wavelet decomposition of the Kirchhoo mi...

Kirchhoo migration operator is a highly oscillatory integral operator. In our primary work 1] (Wu and Yang, 1997), it has been shown that the matrix representation of Kirchhoo migration operator for homogeneous background in space-frequency domain is a dense matrix, while the compressed operator in beamlet-frequency domain, which is the wavelet decomposition of the Kirchhoo migration operator, ...

A nonlinear singularity-preserving solution to seismic image recovery with sparseness and continuity constraints is proposed. We observe that curvelets, as a directional frame expansion, lead to sparsity of seismic images and exhibit invariance under the normal operator of the linearized imaging problem. Based on this observation we derive a method for stable recovery of the migration amplitude...

In the present study, Genetic Algorithm and developed Adaptive are used to solve optimization problems faced in modeling of complex systems. While using Algorithm, most important problem encountered is that these algorithms prone getting stuck local bests. For example, system data process it has been observed frequently fitted bests a certain period time. The reasons that, many mutations cannot...

We present a phase shift datuming and migration algorithm for the data acquired on a nonnat surface. First of all, we formulate the exploding reeector modeling scheme for a nonnat recording surface. Then, the migration scheme is found as the conjugate operator of the modeling operator. In order to get the correct migration and datuming operators, the forward modeling must be physically reasonab...

We modify RTM to create an approximate inverse to the extended Born modeling operator in 2D. The derivation uses asymptotic ray theory and stationary phase principle, but the result applies directly to RTM. The inverse operator differs from the adjoint operator only by application of several explicit velocity-independent filters. This inverse operator, on the one hand, can be used as true ampli...

Biogeography-based optimization (BBO) has shown excellent exploitation ability of the population information for simple-objective optimization problem. But if BBO is directly applied in multi-objective optimization problems (MOPs), optimal solution set gained by BBO has worse diversity and distribution. To overcome these shortcomings, a chaos migration operator is put forwards to improve the di...