Abstract
Bat algorithm (BA) is a kind of heuristic algorithm imitating the echolocation behavior of bats. In consideration of BA shortcomings such as that it could easily fall into traps like local optimum, low accuracy and premature convergence, a new algorithm is proposed by combining steepest descent (SD) algorithm and bat algorithm based on their respective advantages and disadvantages so as to achieve the goal of solving systems of non-linear equations effectively. The results of simulation experiments show that this proposed algorithm (SD-BA) can help improve the accuracy of problem solving and make the optimization results more accurate, and therefore, it is a very efficient and reliable algorithm for solving systems of non-linear equations.
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Acknowledgements
The research was partially funded by the science and technology project of Guizhou ([2017]1207), the training program of high level innovative talents of Guizhou ([2017]3), the Guizhou province natural science foundation in China (KY[2016]018), the Science and Technology Research Foundation of Hunan Province (13C333).
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Ge, G., Song, J., Wang, J., Ouyang, A. (2018). Steepest Descent Bat Algorithm for Solving Systems of Non-linear Equations. In: Huang, DS., Jo, KH., Zhang, XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10955. Springer, Cham. https://doi.org/10.1007/978-3-319-95933-7_87
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