TITLE:
Soccer League Competition Algorithm, a New Method for Solving Systems of Nonlinear Equations
AUTHORS:
Naser Moosavian, Babak Kasaee Roodsari
KEYWORDS:
Soccer League Competition; Nonlinear Equations; Meta-Heuristic Algorithm
JOURNAL NAME:
International Journal of Intelligence Science,
Vol.4 No.1,
December
17,
2013
ABSTRACT: This paper introduces
Soccer League Competition (SLC) algorithm as a new optimization technique for
solving nonlinear systems of equations. Fundamental ideas of the method are
inspired from soccer leagues and based on the competitions among teams and
players. Like other meta-heuristic methods, the proposed technique starts with
an initial population. Population individuals called players are in two types: fixed players
and substitutes that all together form some teams. The competition among teams
to take the possession of the top ranked positions in the league table and the
internal competitions between players in each team for personal improvements
results in the convergence of population individuals to the global optimum.
Results of applying the proposed algorithm in solving nonlinear systems of
equations demonstrate that SLC converges to the answer more accurately and rapidly
in comparison with other Meta-heuristic and Newton-type methods.