We describe a new possibility to model disjunctive optimization problems as generalized semi-infinite programs. In contrast to existing methods, for our approach neither a conjunctive nor a disjunctive normal form is expected. Applying existing lower level reformulations for the corresponding semi-infinite program we derive conjunctive nonlinear problems without any logical expressions, which c...

Hydrodynamic performance of a marine vessel mainly depends on the frictional and pressure resistance. Pressure drag reduction could be achieved by improving the shape of the vessels with implementation of modern hull forms. Hull forms optimization techniques could also be used for this purpose. Other techniques are needed to deal with the viscous portion of the total resistance, which is mainly...

Data Mining is used to discover the knowledge from large amount of databases and transform it into a flexible structure. Association rule mining (ARM) is the essential part of data mining process. Finding good quality of association rules between items in large databases has been an important and challenging association rule mining problem. The rules mined through ARM algorithms are used for de...

Background. Radio network planning is one of the main phases cellular lifecycle, as it determines capital and operating costs allows system performance evaluation at any given time. An accurate comprehensive analysis existing statistics necessary for proper cell during expansion. These are collected throughout life cycle usually have certain imperfections (heterogeneity statistics, which differ...

Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...

Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...