DESIGN TASKS SCHEDULING USING GENETIC ALGORITHMS

Authors

  • Tamás Rick
  • Márk Horváth
  • Tibor Bercsey

Abstract

This paper deals with a modelling and optimization method that is capable of the product structure based optimization of design processes. The processes were modelled with Design Structure Matrix. Guided stochastic search techniques were applied when finding the optimal task schedule. The impact of the probability of mutation and crossover and the two different selection processes on searching was examined. Further investigations were completed in order to multi-object optimize the time and cost of design processes.

Keywords:

product development process, genetic algorithm (GA), design structure matrix, (DSM), task scheduling, learning rate

How to Cite

Rick, T., Horváth, M., Bercsey, T. “DESIGN TASKS SCHEDULING USING GENETIC ALGORITHMS”, Periodica Polytechnica Mechanical Engineering, 50(1), pp. 41–55, 2006.

Issue

Vol. 50 No. 1 (2006)

Section

Articles