Ant-Colony Optimization (ACO) is a popular swarm intelligence scheme for solving combinatorial optimization problems. However, high-dimensional continuous optimization problems remain a challenge. We developed an ACO-based algorithm for numerical optimization capable of solving high-dimensional real-parameter optimization problems. The algorithm transforms a real-parameter optimization problem into a graph-search problem. The parameters’ differences assigned to the graph vertices are used to navigate through the search space. Proposed algorithm efficiently solves high-dimensional problems.
COBISS.SI-ID: 23618855
The relation between the Wiener index of a graph G and its line graph L(G) is considered. The concept of line graph has various applications in physical chemistry. Recently there has been an interest in understanding the connection between Wiener index of graph W(G) and its line graph W(L(G)) for a graph G. We show that if G is of minimum degree at least two, then W(G) is smaller or equal to W(L(G)). Furthermore, we prove that for ininatelly many girths there exist infinatelly many graphs G satisfying W(G) = W(L(G)). The result might be useful in design verification studies.
COBISS.SI-ID: 23929895
In the area of pattern recognition we investigated the relationship between the measured radon concentrations at the Orlica fault in the Krško basin and the seismic activity there. We developed a data processing procedure which can distinguish radon concentration anomalies resulting from seismic activity from the ones caused by environmental parameters (air and soil temperature, barometric and soil air pressure, rainfall). Using this procedure we processed daily seismological and environmental data from the two-years period and successfully detected stronger earthquakes that took place there.
COBISS.SI-ID: 23182375
A hydraulic load cell made from hydroformed metallic bellows was developed. It is a simple, low-cost solution with small dimensions and represents an alternative to the existing hydraulic load cells in industrial use. A good non-linearity and a small hysteresis were achieved. The influence of temperature leads to an error of 7.5%, which can be compensated for by software to meet the requirements of the target application.
COBISS.SI-ID: 23929639
The approach employs a genetic algorithm to searches for an acceptable solution in a large space of possible implementations for a test pattern generator structure. In contrast to conventional approaches the proposed one reduces the gate count of a built-in self-test structure by concurrent optimization of multiple parameters that influence the final solution. The optimization includes the search for: the optimal combination of register cells type; the presence of inverters at inputs and outputs; the test patterns order in the generated test sequence; and the bit order of test patterns.
COBISS.SI-ID: 23607079