Numerical simulation of muscle cells and tissue is an established tool in cardiac electrophysiology, where the electrical behavior of excitable heart muscle cells is commonly modeled as a stiff, non-linear system of ordinary differential equations. A common feature of this system’s right-hand side is the heavy use of computationally expensive univariate functions of the membrane potential. In t...

In this paper, we present an evolutionary algorithm hybridized with a gradient-based optimization technique in the spirit of Lamarckian learning for efficient design optimization. In order to expedite gradient search, we employ local surrogate models that approximate the outputs of a computationally expensive Euler solver. Our focus is on the case when an adjoint Euler solver is available for e...

Layout hotpot detection is one of the main steps in modern very-large-scale-integration (VLSI) chip design. A typical hotspot flow extremely time consuming due to computationally expensive mask optimization and lithographic simulation. Recent researches try facilitate procedure with a reduced flow, including feature extraction, training set generation, detection, where extraction methods engine...

Designing an aircraft involves a lot of stages, however, airfoil selection remains one the most crucial aspects design process. The type chosen determines lift on wing and drag fuselage. When potential is identified, first steps in deciding its optimality for requirements to obtain aerodynamic coefficients. In early stages trying select candidate airfoil, which whole part process rests on, conv...

The time-consuming experimental process currently required to optimize parameters for the selective laser melting (SLM) of new materials is still a major hurdle in adopting this technology various materials. A clear solution using numerical modelling predict parameters. Although literature and authors’ work indicate that part-scale melt pool computationally expensive, some studies accurate sing...

Nearest neighbor retrieval can be defined as the task of finding the objects that are most similar to a query from a given a database of objects. It find its application in areas ranging from medical domain, financial sector, computer vision, computational sciences, computational geometry, information retrieval, etc. With the expansion of internet, the amount of digitized data is increasing by ...

This paper addresses the issue of quantifying asymmetric functional relationships between signals. We specifically consider a previously proposed similarity index that is conceptually powerful, yet computationally very expensive. The complexity increases with the square of the number of samples in the signals. In order to counter this difficulty, a self-organizing map that is trained to model t...

The detection of gravitational wave usually requires to match the measurement data with a large number of templates, which is computationally very expensive. Compressed sensing methods allow one to match the data with a small number of templates and interpolate the rest. However, the interpolation process is still computationally expensive. In this article, we designed a novel method that only ...

The emerging paradigm of grid computing provides a powerful platform for the solution of complex and computationally expensive problems. An example of this is the multi-objective evolutionary design of robust controllers, where each candidate controller design has to be synthesised and the resulting performance of the compensated system evaluated by computer simulation. This paper introduces a ...