Generalized Pattern Search Algorithm for Crustal Modeling

Generalized pattern search algorithm for Peptide structure prediction.

Finding the near-native structure of a protein is one of the most important open problems in structural biology and biological physics. The problem becomes dramatically more difficult when a given protein has no regular secondary structure or it does not show a fold similar to structures already known. This situation occurs frequently when we need to predict the tertiary structure of small mole...

A Hybrid Algorithm for Crustal Velocity Modeling

We present a hybrid method to produce a velocity model of the Earth’s crust using evolutionary and seismic tomography algorithms. This method takes advantage of the global search ability of an evolution strategy and the quick convergence of an iterative three-dimensional seismic tomography technique to generate a model of the Earth’s crustal structure from recorded arrival times of wave fronts ...

A Generalized Threats Search Algorithm

Improved Cuckoo Search Algorithm for Global Optimization

The cuckoo search algorithm is a recently developedmeta-heuristic optimization algorithm, which is suitable forsolving optimization problems. To enhance the accuracy andconvergence rate of this algorithm, an improved cuckoo searchalgorithm is proposed in this paper. Normally, the parametersof the cuckoo search are kept constant. This may lead todecreasing the efficiency of the algorithm. To cop...

Convergence Results for Generalized Pattern Search Algorithms are Tight

The convergence theory of generalized pattern search algorithms for unconstrained optimization guarantees under mild conditions that the method produces a limit point satisfying first order optimality conditions related to the local differentiability of the objective function. By exploiting the flexibility allowed by the algorithm, we derive six small dimensional examples showing that the conve...