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Hooke-jeeves bat algorithm for systems of nonlinear equations | IEEE Conference Publication | IEEE Xplore

Hooke-jeeves bat algorithm for systems of nonlinear equations


Abstract:

As the bat algorithm (BA) is slow in convergence and the Hooke-Jeeves algorithm is easy to be trapped into local optimization, this paper combines advantages of the two a...Show More

Abstract:

As the bat algorithm (BA) is slow in convergence and the Hooke-Jeeves algorithm is easy to be trapped into local optimization, this paper combines advantages of the two algorithms and comes up with a hybrid algorithm called Hooke-Jeeves bat algorithm to solve nonlinear equations. Hooke-Jeeves bat algorithm not only is capable of searching the globally optimal solution, but also can realize local fine search. Experimental results show that Hooke-Jeeves bat algorithm is an effective optimization method for solving nonlinear equations and can be applied to the settlement of other unconstrained optimization problems.
Date of Conference: 29-31 July 2017
Date Added to IEEE Xplore: 25 June 2018
ISBN Information:
Conference Location: Guilin, China

References

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