Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10323
Title: Implementation of simulated annealing for two variables non-linear function
Authors: Engku Ahmad Rafiqi, Engku Ariff
Sakinah, Zakaria
Maliki, Ibrahim
rafiqi@unimap.edu.my
sakinahzakaria @unimap.edu.my
maliki@unimap.edu.my
Keywords: Simulated annealing
Non-linear equation
Global minima
Local minima
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Issue Date: 2-Jun-2010
Publisher: Universiti Malaysia Perlis (UniMAP)
Citation: Vol.4(13), p.419-422
Series/Report no.: Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010
Abstract: Stochastic optimisation is a technique that refers to minimisation or maximisation of a certain functions and this algorithm has been used widely in industry, business and computer science. In mathematic algorithm, simulated annealing is used to find an optimal solution for a given nonlinear function in a specified range. A non-linear function has several solutions which are local minima and global minima. In order to get to the optimal solution, the solver may be stuck at one of the local minima thus giving a non-optimal solution of the function. Thus, to avoid this problem, simulated annealing method is used.
Description: 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.
URI: http://dspace.unimap.edu.my/123456789/10323
Appears in Collections:Conference Papers

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