DocumentCode :
412668
Title :
Investigating the existence of function roots using particle swarm optimization
Author :
Parsopoulos, Konstantinos E. ; Vrahatis, Michael N.
Author_Institution :
Dept. of Math., Patras Univ., Greece
Volume :
2
fYear :
2003
fDate :
8-12 Dec. 2003
Firstpage :
1448
Abstract :
The existence of roots of functions is a topic of major significance in nonlinear analysis, and it is directly related to the problem of detection of extrema of a function. The topological degree of a function is a mathematical tool of great importance for investigating the existence and the number of roots of a function with certainty. For the computation of the topological degree according to Stenger´s theorem, a sufficient refinement of the boundary of the polyhedron under consideration is needed. The sufficient refinement can be computed using the optimal complexity algorithm of Boult and Sikorski. However, the application of this algorithm requires the computation of the infinity norm on the boundary of the polyhedron under consideration as well as an estimation of the Lipschitz constant of the function. We introduced a new technique for the computation of the infinity norm on the polyhedron´s boundary as well as for the estimation of the Lipschitz constant. The proposed approach is illustrated on several test problems and the results are reported and discussed.
Keywords :
computational complexity; evolutionary computation; functional analysis; optimisation; Lipschitz constant estimation; Stenger theorem; function root; mathematical tool; nonlinear analysis; optimal complexity algorithm; particle swarm optimization; polyhedron boundary; Artificial intelligence; H infinity control; Mathematics; Optimization methods; Particle swarm optimization; Performance analysis; Stochastic processes; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
Type :
conf
DOI :
10.1109/CEC.2003.1299841
Filename :
1299841
Link To Document :
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