Titlebook: Artificial Intelligence and Soft Computing; 12th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

永久

Psa617

易于交谈

galley

0302-9743 and medical applications; agent systems, robotics and control; artificial intelligence in modeling and simulation; and various problems of artificial intelligence.978-3-642-38609-1978-3-642-38610-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

orthodox

Global Induction of Oblique Model Trees: An Evolutionary Approachtion and a generational selection. We propose specialized genetic operators to mutate and cross-over individuals (trees). The fitness function is based on the Bayesian Information Criterion. In preliminary experimental evaluation we show the impact of the tree representation on solving different prediction problems.

Defense

Application of Geometric Differential Evolution Algorithm to Design Minimal Phase Digital Filters wisign algorithm. In the paper, a design of two digital filters in the Q.15 numerical format (for hardware realization) and in the real number numerical format (for software realization) is presented. The results obtained using the proposed method are better than the results obtained with the use of the other methods.

玛瑙

The Niching Mechanism in the Evolutionary Method of Path Planning function value. This paper examines several sea collision scenarios at different levels of difficulty. Based on those, the method has been tested to choose values of parameters, which significantly influence its effectiveness.

Crepitus

enumaerate

On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithed improvements with regards to the overall duration of the optimization. Our main aim is to provide practitioners of MOEAs with a simple but effective method of deciding which master-slave parallelization option is better when dealing with a time-constrained optimization process.

regale

Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Fthen their inclusion in the classical methods of exploratory data analysis is being discussed. Finally, some illustrative examples of presented approach in the tasks of cluster analysis and classification are being given.