Now showing items 21-26 of 26

  • An Experimental Study on Competitive Coevolution of MLP Classifiers 

    Castellani, Marco; Lalchandani, Rahul (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01)
    This paper investigates the effectiveness and efficiency of two competitive (predator-prey) evolutionaryprocedures for training multi-layer perceptron classifiers: Co-Adaptive Neural Network Training, and a modifiedversion ...
  • Heuristic Approaches to Stochastic Quadratic Assignment Problem: VaR and CVar Cases 

    Matousek, Radomil; Popela, Pavel; Kudela, Jakub (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01)
    The goal of this paper is to continue our investigation of the heuristic approaches of solving thestochastic quadratic assignment problem (StoQAP) and provide additional insight into the behavior of di erentformulations ...
  • Nature-Inspired Algorithms in Real-World Optimization Problems 

    Bujok, Petr; Tvrdik, Josef; Polakova, Radka (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01)
    Eight popular nature inspired algorithms are compared with the blind random search and three advanced adaptive variants of differential evolution (DE) on real-world problems benchmark collected for CEC 2011 algorithms ...
  • Data Scaling by Differential Evolution for FCA over Data from LMS eLogika 

    Kermaschek, Jakub; Drazdilova, Pavla; Mensik, Marek (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01)
    The e-learning system eLogika serves for teaching logic. The system collects data about users who arelogged in, e.g. time spent on a particular activity, the number of activities performed by particular students, whatdata ...
  • Opening the Black Box: Alternative Search Drivers for Genetic Programming and Test-based Problems 

    Krawiec, Krzysztof (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01)
    Test-based problems are search and optimization problems in which candidate solutions interact with multiple tests (examples, fitness cases, environments) in order to be evaluated. The approach conventionally adopted in ...
  • Shift Scheduling of Short Time Workers in Large-Scale Home Improvement Center by using Cooperative Evolution 

    Ohki, Makoto (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01)
    There are a lot of large-scale Home Improvement Center (HIC) in Japan. In the large-scale HIC,about hundred short time workers are registered. And about forty workers are working every day. A managercreates a monthly shift ...