Title :
A fast and elitist parallel evolutionary algorithm for solving systems of non-linear equations
Author :
Wu, Zhijian ; Kang, Lishan
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., China
Abstract :
We present a parallel elite-subspace evolutionary algorithm for solving systems of nonlinear equations. On the basis of numerical experiments, we find that our algorithm has an outstanding universal characteristics and superior convergence as well. All of the solutions can be obtained within a short period of time.
Keywords :
convergence of numerical methods; evolutionary computation; linear algebra; nonlinear equations; parallel algorithms; problem solving; nonlinear equation solving system; optimisation; parallel elite-subspace evolutionary algorithm; Concurrent computing; Convergence of numerical methods; Evolutionary computation; Gradient methods; Iterative methods; Laboratories; Newton method; Nonlinear equations; Parallel algorithms; Parallel processing;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299780
