An Enhanced Hybrid Chaotic Algorithm using Cyclic Coordinate Search and Gradient Techniques | Zendy

Juan D. Velásquez | Zendy

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An Enhanced Hybrid Chaotic Algorithm using Cyclic Coordinate Search and Gradient Techniques

Author(s) -

Juan D. Velásquez

Publication year - 2010

Publication title -

revista de ingeniería

Language(s) - English

Resource type - Journals

eISSN - 2011-0049

pISSN - 0121-4993

DOI - 10.16924/revinge.32.5

Subject(s) - broyden–fletcher–goldfarb–shanno algorithm , chaotic , benchmark (surveying) , algorithm , nonlinear system , computer science , chaos (operating system) , mathematical optimization , optimization algorithm , mathematics , artificial intelligence , physics , computer network , computer security , asynchronous communication , geodesy , quantum mechanics , geography

In this paper, we present a hybrid chaotic algorithm using a chaotic enhanced cyclical search along each axis and the BFGS method for optimizing nonlinear functions. The proposed method is a powerful optimization technique; this is demonstrated when four nonlinear benchmark functions with 30 dimensions are minimized using the proposed technique. Using this methodology we are able to find a better and faster solution than the traditional chaos optimization algorithm and other competitive techniques.

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