In view of such drawbacks of current bionics optimization algorithms as poor local search ability and premature convergence , a competition model of forest dynamical evolution was established by using two principles . One was the contradictory unity of growth and whiting based on natural trees, and another was the competitive exclusion in forest ecosystem . Furthermore , a forest competition algorithm was proposed. To verify the algorithm , we applied it to solve transcendental equations . Compared with the Standard Genetic Algorithm , it ran faster . Compared with the Standard Particle Swarm Optimization , it had higher success rate in searching all solutions. This algorithm may provide a novel method for design and calculation of optimization.
