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Erschienen in:
2012 | OriginalPaper | Buchkapitel
The Modified IWO Algorithm for Optimization of Numerical Functions
verfasst von : Daniel Kostrzewa, Henryk Josiński
Erschienen in: Swarm and Evolutionary Computation
Verlag: Springer Berlin Heidelberg
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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.