The modified IWO algorithm for optimization of numerical functions

  • Authors:

  • Daniel Kostrzewa;Henryk Josiński

  • Affiliations:

  • Silesian University of Technology, Gliwice, Poland;Silesian University of Technology, Gliwice, Poland

  • Venue:
  • SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
  • Year:
  • 2012

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Abstract

The Invasive Weed Optimization algorithm (IWO) is an optimization method inspired by dynamic growth of weeds colony. The authors of the present paper have modified the IWO algorithm introducing a hybrid strategy of the search space exploration. The goal of the project was to evaluate the modified version by testing its usefulness for numerical functions minimization. The optimized multidimensional functions: Griewank, Rastrigin, and Rosenbrock are frequently used as benchmarks which allows to compare the experimental results with outcomes reported in the literature. Both the results produced by the original version of the IWO algorithm and the Adaptive Particle Swarm Optimization (APSO) method served as the reference points.