Abstract:

A simple and effective intelligent optimization algorithm named species explode and deracinate algorithm (SEDA) is proposed based on exploding and deracinating in history of biological evolution. The optimization mechanism of SEDA is described in detail. The algorithm realizes the optimization by making species exploding and deracinating according to species catastrophe evolution theory. To balance the ability of global optimization and local optimization, species strategies such as converting main branch of species and constricting derivative ability are also introduced. Simulation results indicate SEDA is easy to implement, and SEDA has excellent convergence speed and solution quality.