An approximation algorithm for fuzzy polynomial interpolation with Artificial Bee Colony algorithm

Authors:
P. Mansouri;B. Asady;N. Gupta
Affiliations:
Department of Mathematics, Arak Branch, Islamic Azad University, Arak, Iran and Department of Computer Science, Delhi University, Delhi, India;Department of Mathematics, Arak Branch, Islamic Azad University, Arak, Iran;Department of Computer Science, Delhi University, Delhi, India
Venue:
Applied Soft Computing
Year:
2013

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Abstract

In this paper, a novel approximation algorithm for fuzzy polynomial interpolation using Artificial Bee Colony algorithm to interpolate fuzzy data is discussed. However, we use our modified ABC (MABC; Mansouri et al. [13]) to perform the required task. Some examples (including the benchmark functions Griewank and Rastrigin) illustrate the rationality of the method and the validity of the solution. We compare our results with other methods including Genetic Algorithm (GA), Particle Swarm Algorithm (PSO). The results show that proposed method outperforms the other algorithms.